diff --git a/LICENSE b/LICENSE
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+++ b/LICENSE
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+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
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+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<http://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<http://www.gnu.org/philosophy/why-not-lgpl.html>.
diff --git a/Setup.lhs b/Setup.lhs
new file mode 100644
--- /dev/null
+++ b/Setup.lhs
@@ -0,0 +1,3 @@
+#! /usr/bin/env runhaskell
+> import Distribution.Simple
+> main = defaultMain
diff --git a/src/Synthesizer/Filter/Basic.hs b/src/Synthesizer/Filter/Basic.hs
new file mode 100644
--- /dev/null
+++ b/src/Synthesizer/Filter/Basic.hs
@@ -0,0 +1,60 @@
+{-# LANGUAGE NoImplicitPrelude #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE FlexibleInstances #-}
+{-# LANGUAGE FunctionalDependencies #-}
+module Synthesizer.Filter.Basic where
+
+import qualified Algebra.Transcendental as Trans
+import qualified Algebra.Module         as Module
+import qualified Algebra.RealRing      as RealRing
+import qualified Number.Complex         as Complex
+
+import NumericPrelude.Numeric
+import NumericPrelude.Base
+
+{- ToDo:
+    - support of data before time 0
+       - the problem is that all past data has to be kept,
+         the garbage collector can't flush it :-(
+       - this means we will also need functions for plain lists,
+         in this case we can't provide initial conditions to recursive filters
+       - the question of initial conditions is especially problematic
+         since for Graphs we have no explicit feed back
+         where initial conditions can be plugged in
+       - thus for two-way signal we must request the user
+         to insert initial conditions in every loop of a Graph
+         using the Past constructor
+    - all of the following filter primitives in static and modulated form:
+       - mask
+       - integer delay
+       - fractional delay
+          - shall the fractional delay constructor store the interpolation type?
+            (this discussion is similar to the one concerning
+             initial conditions for recursive filters)
+             - yes, because each delay may use a different interpolation type,
+                    if no fractional delay is used,
+                     no interpolation type needs to be specified
+             - no, because the interpolation is only of interest for filter
+                   application not for the transfer function
+    - Is there a way to avoid the multi-parameter type class?
+       - Can we provide a class for lists (OneWay and TwoWay)
+         that help implementing filters and filter networks?
+       - The 'transferFunction' obviously does not depend on the signal list type.
+    - 'transferFunction' should not be restricted to complex numbers.
+       - For arguments of type 'Ratio (Polynomial Rational)'
+         you could compute the transfer function in terms of a rational function.
+-}
+
+screw :: Trans.C a => a -> [Complex.T a]
+screw w = iterate (Complex.cis w *) 1
+
+
+class Filter list filter | filter -> list where
+   {-| Apply a filter to a signal. -}
+   apply :: (RealRing.C t, Trans.C t,
+             Module.C a v, Module.C a (list v)) =>
+               filter t a v -> list v -> list v
+   {-| Compute the complex amplification factor
+       that is applied to the given frequency. -}
+   transferFunction :: (Trans.C t, Module.C a t) =>
+               filter t a v -> t -> Complex.T t
diff --git a/src/Synthesizer/Filter/Composition.hs b/src/Synthesizer/Filter/Composition.hs
new file mode 100644
--- /dev/null
+++ b/src/Synthesizer/Filter/Composition.hs
@@ -0,0 +1,150 @@
+{-# LANGUAGE NoImplicitPrelude #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE FlexibleInstances #-}
+{-# LANGUAGE UndecidableInstances #-}
+module Synthesizer.Filter.Composition where
+
+import qualified Synthesizer.Filter.Basic as FilterBasic
+import Synthesizer.Filter.Basic (Filter, apply, )
+
+import qualified Algebra.Module         as Module
+import qualified Algebra.Transcendental as Trans
+import qualified Algebra.RealRing      as RealRing
+import qualified Algebra.Field          as Field
+import qualified Algebra.Additive       as Additive
+import qualified Number.Complex         as Complex
+
+import Algebra.Additive ((+))
+
+import NumericPrelude.Base
+import NumericPrelude.Numeric
+
+{- ToDo:
+    - functions that build a FilterComposition for specific filters
+        (1st order, universal, allpass, butterworth, chebyshev)
+    - functions that turn physical filter parameters into
+        internal ones
+    - How can these function be combined?
+      A function like
+         [ FilterComposition v [m] ] -> FilterComposition v [[m]]
+      is not satisfying, since the conversion function cannot rely
+      that the structure of all FilterComposition v [m] is equal.
+      If the list is empty the structure can't even be reconstructed.
+-}
+
+{-|
+  This describes a generic filter with one input and one main output
+  that consists of non-recursive and recursive parts.
+  If you use Feedback, make sure that at least
+  one of the filters of a circle includes a delay,
+  otherwise the recursion will fail.
+  The main output is used to glue different parts together.
+  Additionally the functions 'apply' and 'transferFunction'
+  provide the signals at every node of the network.
+-}
+data T filter t a v =
+     Prim (filter t a v)
+       {-^ a filter primitve -}
+   | Serial   [T filter t a v]
+       {-^ serial chain of filters -}
+   | Parallel [T filter t a v]
+       {-^ filters working parallel, there output is mixed together -}
+   | Feedback (T filter t a v) (T filter t a v)
+       {-^ filter the signal in the forward direction and
+           feed back the output signal filtered by the second filter -}
+
+{-|
+  This is the data structure is used for the results
+  of 'apply' and 'transferFunction'.
+  Each constructor corresponds to one of 'Filter.Composition.T'.
+  By choosing only some of the outputs
+  the lazy evaluation will content
+  with applying the necessary filter steps, only.
+-}
+data Sockets s = Sockets {output :: s, socket :: SocketSpec s}
+
+data SocketSpec s =
+     Output
+   | Multiplier [Sockets s]
+   | Adder [Sockets s]
+   | Loop (Sockets s) (Sockets s)
+
+instance (Filter list filter) =>
+      Filter (list) (T filter) where
+{-
+   apply :: (Module.C a v) =>
+      FilterComposition a v -> TwoWayList v -> TwoWayList v
+-}
+   apply f x = output (applyMulti f x)
+{-
+   transferFunction :: (Trans.C b, Module.C a (Complex.T b)) =>
+      T filter a v -> b -> (Complex.T b)
+-}
+   transferFunction f w = output (transferFunctionMulti f w)
+
+
+{-| Apply a filter network to a signal and keep the output of all nodes.
+    Generic function that is wrapped by 'apply'. -}
+applyMulti :: (RealRing.C t, Trans.C t,
+      Module.C a v, Module.C a (list v), Filter list filter) =>
+   T filter t a v -> list v -> Sockets (list v)
+applyMulti (Prim f) x =
+   Sockets (apply f x) Output
+applyMulti (Serial fs) x =
+   let sq = scanl (\(Sockets y _) -> flip applyMulti y) (Sockets x Output) fs
+   in  Sockets (output (last sq)) (Multiplier (tail sq))
+applyMulti (Parallel fs) x =
+   let socks = map (flip applyMulti x) fs
+       y = foldr (Additive.+) zero (map output socks)
+   in  Sockets y (Adder socks)
+{- the distinction between 'feed' and 'back'
+   can be dropped in a more general net structure -}
+applyMulti (Feedback feed back) x =
+   let sockY@(Sockets y _) = applyMulti feed ((Additive.+) x z)
+       sockZ@(Sockets z _) = applyMulti back y
+   in  Sockets y (Loop sockY sockZ)
+
+
+transferFunctionMulti ::
+   (Trans.C t, Module.C a t, Filter list filter) =>
+      T filter t a v -> t -> Sockets (Complex.T t)
+transferFunctionMulti f w = tfAbsolutize 1 (tfRelative w f)
+
+{-| Compute the transitivity for each part of the filter network.
+    We must do this in such a relative manner to be able
+    to compute feedback. -}
+tfRelative ::
+   (Trans.C t, Module.C a t, Filter list filter) =>
+      t -> T filter t a v -> Sockets (Complex.T t)
+tfRelative w (Prim f) =
+   Sockets (FilterBasic.transferFunction f w) Output
+tfRelative w (Serial fs) =
+   let sq = map (tfRelative w) fs
+   in  Sockets (product (map output sq)) (Multiplier sq)
+tfRelative w (Parallel fs) =
+   let sq = map (tfRelative w) fs
+   in  Sockets (sum (map output sq)) (Adder sq)
+tfRelative w (Feedback feed back) =
+   let sockY = tfRelative w feed
+       sockZ = tfRelative w back
+       q = output sockY / (1 - output sockZ)
+   in  Sockets q (Loop sockY sockZ)
+
+
+{-| Make the results from 'tfRelative' absolute. -}
+tfAbsolutize :: (Field.C a) => a -> Sockets a -> Sockets a
+tfAbsolutize x (Sockets y spec) = Sockets (x*y)
+   (case spec of
+      (Multiplier socks) ->
+         let sq = scanl (\(Sockets z _) -> tfAbsolutize z)
+                        (Sockets x Output) socks
+         in  Multiplier (tail sq)
+      (Adder socks) ->
+         let sq = map (tfAbsolutize x) socks
+         in  Adder sq
+      (Loop feed back) ->
+         let sockY = tfAbsolutize (x / (1 - output back)) feed
+             sockZ = tfAbsolutize (output sockY) back
+             -- it should be  x*y == output sockY
+         in  Loop sockY sockZ
+      Output -> spec)
diff --git a/src/Synthesizer/Filter/Example.hs b/src/Synthesizer/Filter/Example.hs
new file mode 100644
--- /dev/null
+++ b/src/Synthesizer/Filter/Example.hs
@@ -0,0 +1,243 @@
+{-# LANGUAGE NoImplicitPrelude #-}
+module Synthesizer.Filter.Example where
+
+import qualified Synthesizer.Filter.OneWay as OneWay
+import qualified Synthesizer.Filter.TwoWay as TwoWay
+import qualified Synthesizer.Filter.Composition as Composition
+import qualified Synthesizer.Filter.Graph as Graph
+import qualified Synthesizer.Plain.Interpolation as Interpolation
+
+import Synthesizer.Filter.Basic (apply, )
+import Synthesizer.Filter.Composition (T(..))
+
+import qualified Synthesizer.Plain.Oscillator as Osci
+import qualified Synthesizer.Basic.Wave       as Wave
+import qualified Synthesizer.Plain.Filter.Recursive.FirstOrder as Filt1
+import qualified Synthesizer.Plain.Filter.NonRecursive as FiltNR
+
+import qualified Algebra.Module         as Module
+import qualified Algebra.Transcendental as Trans
+import qualified Algebra.RealField      as RealField
+import qualified Algebra.Field          as Field
+import qualified Algebra.Absolute       as Absolute
+
+import Data.Maybe (fromMaybe)
+
+import NumericPrelude.Base
+import NumericPrelude.Numeric
+
+
+
+{-* Reconstruction of the sound of a plucked guitar string -}
+
+guitarInit :: Field.C a => [a]
+guitarInit = map (/128) (
+      1 :    1 :    1 :    1 :    1 :    1 :    1 :    1 :
+      1 :    2 :    2 :    2 :    2 :    2 :    2 :    2 :
+      2 :    2 :    2 :    2 :    2 :    2 :    2 :    2 :
+      2 :    2 :    2 :    3 :    3 :    3 :    3 :    3 :
+      3 :    3 :    3 :    3 :    3 :    3 :    3 :    3 :
+      3 :    3 :    3 :    4 :    4 :    4 :    4 :    4 :
+      4 :    4 :    4 :    4 :    4 :    4 :    4 :    4 :
+      5 :    5 :    5 :    5 :    5 :    5 :    5 :    5 :
+      6 :    6 :    6 :    7 :    7 :    8 :    8 :    9 :
+     10 :   11 :   12 :   13 :   14 :   15 :   15 :   16 :
+     17 :   17 :   17 :   18 :   18 :   18 :   18 :   18 :
+     18 :   18 :   18 :   17 :   17 :   16 :   16 :   15 :
+     15 :   14 :   14 :   14 :   13 :   13 :   14 :   14 :
+     15 :   16 :   17 :   18 :   19 :   20 :   22 :   23 :
+     25 :   27 :   30 :   32 :   35 :   37 :   39 :   41 :
+     43 :   45 :   47 :   48 :   49 :   49 :   48 :   46 :
+     41 :   34 :   24 :   11 :   -6 :  -26 :  -48 :  -72 :
+    -96 : -114 : -128 : -128 : -128 : -128 : -128 : -128 :
+   -128 : -125 : -110 :  -93 :  -75 :  -57 :  -41 :  -27 :
+    -17 :  -10 :   -6 :   -4 :   -2 :   -2 :   -2 :   -2 :
+     -2 :   -3 :   -4 :   -4 :   -5 :   -6 :   -7 :   -8 :
+     -9 :  -10 :  -11 :  -12 :  -12 :  -12 :  -13 :  -13 :
+    -13 :  -13 :  -13 :  -13 :  -12 :  -12 :  -11 :  -10 :
+     -9 :   -9 :   -8 :   -8 :   -7 :   -6 :   -6 :   -5 :
+     -5 :   -5 :   -5 :   -4 :   -4 :   -4 :   -4 :   -4 :
+     -4 :   -4 :   -4 :   -4 :   -4 :   -5 :   -7 :   -8 :
+     -8 :   -9 :  -10 :  -11 :  -12 :  -13 :  -13 :  -14 :
+    -14 :  -14 :  -13 :  -10 :   -7 :   -2 :    5 :   15 :
+     26 :   37 :   49 :   61 :   73 :   83 :   92 :   99 :
+    105 :  109 :  111 :  112 :  110 :  105 :   99 :   90 :
+     80 :   71 :   63 :   57 :   52 :   49 :   47 :   47 :
+     48 :   49 :   51 :   51 :   52 :   52 :   50 :   48 :
+     42 :   34 :   22 :    7 :  -12 :  -32 :  -56 :  -78 :
+    -96 : -114 : -127 : -128 : -128 : -128 : -128 : -128 :
+   -128 : -118 : -102 :  -83 :  -67 :  -50 :  -37 :  -26 :
+    -17 :  -12 :   -8 :   -5 :   -3 :   -3 :   -2 :   -2 :
+     -2 :   -3 :   -4 :   -4 :   -6 :   -7 :   -8 :  -10 :
+    -11 :  -12 :  -12 :  -13 : [])
+
+guitarCompShort, guitarCompLong ::
+   Field.C a => [a] -> Composition.T TwoWay.T Double a a
+guitarCompShort past = Feedback (Prim (TwoWay.Past past)) (Parallel [
+   Serial [Prim (TwoWay.Delay   1),
+           Prim (TwoWay.Mask [0.6519177892575342, 0.2331904728998289])],
+   Serial [Prim (TwoWay.Delay 126),
+           Prim (TwoWay.Mask [0.08253506238277844,
+               0.2369601607320473,   0.18367848836060044,
+              -0.06422525077173147, -0.31836517142623727])]])
+guitarCompLong past = Feedback (Prim (TwoWay.Past past)) (
+   Serial [Prim (TwoWay.Delay 122),
+           Prim (TwoWay.Mask [
+              -0.23742303494466988,
+               0.020278040917954415,
+               0.12495333789385828,
+               0.16125537461091102,
+               0.1993410924766678,
+               0.24673057006071691,
+               0.25438881375430467,
+               0.1424676847770117,
+               0.03848071949084291,
+              -0.016618282409355676,
+              -0.04517323927531556,
+              -0.0061713683480988475,
+               0.11137126130878339
+             ])])
+
+{-| Reconstruct the guitar sound from the sampled initial wave
+    and the analysed feedback factors.
+    This sounds pretty like the sampled sound. -}
+guitarRaw :: (Field.C a, Module.C a a) => [a]
+guitarRaw =
+   let gi = guitarInit  -- assert monomorphism
+       y = TwoWay.future
+              (TwoWay.delay (length gi)
+                 (apply (guitarCompLong (reverse gi))
+                        (TwoWay.Signal [] [])))
+   in  y
+
+{-| Reconstruct the guitar sound from the sampled initial wave
+    but with simple smoothing on feedback.
+    This sounds more statically. -}
+guitarRawSimple :: (Field.C a, Module.C a a) => [a]
+guitarRawSimple =
+   let gi = guitarInit  -- assert monomorphism
+       y  = gi ++ drop (length gi)
+              (FiltNR.delay 128 (Filt1.lowpass
+                 (repeat (Filt1.Parameter (0.4  `asTypeOf` head y))) y))
+   in  y
+
+{-| Reconstruct the guitar sound with the analysed feedback factors
+    but with an synthetic initial wave.
+    The sharpness of the initial wave can be controlled.
+    This is used to implement various velocities. -}
+guitarRawVelo :: (Absolute.C a, Trans.C a, Module.C a a) => a -> [a]
+guitarRawVelo velo =
+   let len  = 128::Int
+       wave =
+          map (Wave.power01Normed velo)
+             (take len (iterate (+ 2 / fromIntegral len) (-1)))
+       y = TwoWay.future
+              (TwoWay.delay len
+                 (apply (guitarCompLong wave)
+                        (TwoWay.Signal [] [])))
+   in  y
+
+
+{-| Resample the reconstructed string sound
+    so that notes can be played. -}
+guitar :: (RealField.C a, Module.C a a) => a -> [a]
+guitar freq =
+   let srcFreq = 128 * freq
+   in  Interpolation.multiRelativeZeroPadLinear 0
+          (repeat (srcFreq `asTypeOf` freq)) guitarRawSimple
+
+
+
+{-* Tests for FilterGraphs -}
+
+type CompositionDouble =
+        Composition.T TwoWay.T Double Double Double
+
+{-| a simple lowpass used to create an exponential2 -}
+--expo :: (RealField.C a, Module.C a a) => TwoWay.Signal a
+expo :: TwoWay.Signal Double
+expo =
+   let _flt1 = Feedback (Serial [Prim (OneWay.Delay ([0] `asTypeOf` past))])
+                       (Serial [Prim (OneWay.Mask
+                                        ([0.9] `asTypeOf` past))])
+       _flt2 = (Prim (TwoWay.Mask ([0.5] `asTypeOf` past)))
+                 :: CompositionDouble
+       flt3 = (Feedback (Serial [])
+                        (Prim (TwoWay.Delay 1)))
+                 :: CompositionDouble
+       TwoWay.Signal past future = apply flt3 (TwoWay.Signal [] [1])
+   in  TwoWay.Signal past (take 10 future)
+
+type GraphDouble f = Graph.T f Int Double Double Double
+
+simpleGraph :: TwoWay.Signal Double
+simpleGraph =
+   let out =
+          Graph.apply
+             (Graph.fromList
+                [(0, []),
+                 (1, [(0, TwoWay.Delay (-1))]),
+                 (2, [(1, TwoWay.Mask [0.95])])] ::
+                    GraphDouble TwoWay.T)
+             (Graph.signalFromList
+                [(0, TwoWay.Signal [] [1])])
+   in  fromMaybe (error "requested output of non-existing socket")
+                 (Graph.lookupSignal out (2::Int))
+
+expoGraphTwoWay :: [Double]
+expoGraphTwoWay =
+   let out =
+          Graph.apply
+             (Graph.fromList
+                [(0, [(2, TwoWay.Past [1])]),
+                 (1, [(0, TwoWay.Delay 1)]),
+                 (2, [(1, TwoWay.Mask [0.95])])] ::
+                    GraphDouble TwoWay.T)
+             (Graph.signalFromList
+                [(0, TwoWay.Signal [] [])])
+   in  TwoWay.take 20 $ TwoWay.delay 10
+          (fromMaybe (error "requested output of non-existing socket")
+             (Graph.lookupSignal out (0::Int)))
+
+
+expoGraph :: [Double]
+expoGraph =
+   let out =
+          Graph.apply
+             (Graph.fromList
+                [(0, [(1, OneWay.Delay [0])]),
+                 (1, [(0, OneWay.Mask [0.99])])] ::
+                    GraphDouble OneWay.T)
+             (Graph.signalFromList
+                [(0, [1])])
+   in  fromMaybe (error "requested output of non-existing socket")
+                 (Graph.lookupSignal out (0::Int))
+
+{-| make recursive flanger with help of the two way interpolation -}
+flangedSaw :: Double -> [Double]
+flangedSaw sampleRate =
+   let {- The flanger's principal filter frequency will vary between
+          flangeFreq * 2**flangeRange and flangeFreq / 2**flangeRange -}
+       flangeFreq  = 1000
+       flangeRange = 2
+       sawFreq     = 440
+       gain = 0.6
+       vol  = 0.5
+
+       {- 'control' contains the feedback times -}
+       control  = map (\c -> sampleRate/flangeFreq * 2**(-flangeRange*c))
+                      (map sin (iterate (pi/(0.5*sampleRate)+) 0))
+       sawPast   = Osci.freqModSaw 0 (repeat (-sawFreq/sampleRate))
+       sawFuture = Osci.freqModSaw 0 (repeat ( sawFreq/sampleRate))
+       --lowNoise = amplify vol noise
+       flt = Feedback
+                (Prim (TwoWay.Mask [vol]))
+                (Serial [Prim (TwoWay.Mask [gain]),
+                         Prim (TwoWay.Past []),
+                         Prim (TwoWay.ModFracDelay
+                                  Interpolation.linear
+                                     (TwoWay.Signal [] control))])
+                :: CompositionDouble
+
+   in  TwoWay.future
+          (apply flt (TwoWay.Signal sawPast sawFuture))
diff --git a/src/Synthesizer/Filter/Fix.hs b/src/Synthesizer/Filter/Fix.hs
new file mode 100644
--- /dev/null
+++ b/src/Synthesizer/Filter/Fix.hs
@@ -0,0 +1,38 @@
+module Synthesizer.Filter.Fix where
+
+import qualified Synthesizer.Filter.Graph as Graph
+
+
+{-|
+A 'Graph.T' with numbered nodes is not very comfortable.
+Better provide a 'Control.Monad.Fix.fix'-like function
+which allows to enter a graph this way:
+
+> fix $ \[v,w,y] ->
+> [a·(u + d·w),
+>  b·(v + e·y),
+>  c· w]
+
+-}
+
+type T filter t a v  =
+   [Channel filter t a v] -> [[(Channel filter t a v, filter t a v)]]
+
+type ChannelId = Int
+
+data Channel filter t a v =
+   Channel {channelId     :: ChannelId,
+            channelInputs :: [(ChannelId, filter t a v)]}
+
+
+fix :: T filter t a v -> [Channel filter t a v]
+fix f =
+   let cs = zipWith (\n inputs ->
+               Channel n (map (\(c,filt) -> (channelId c, filt)) inputs))
+               [0 ..] (f cs)
+   in  cs
+
+
+toGraph :: T filter t a v -> Graph.T filter Int t a v
+toGraph =
+   Graph.fromList . map (\(Channel n inputs) -> (n, inputs)) . fix
diff --git a/src/Synthesizer/Filter/Graph.hs b/src/Synthesizer/Filter/Graph.hs
new file mode 100644
--- /dev/null
+++ b/src/Synthesizer/Filter/Graph.hs
@@ -0,0 +1,183 @@
+{-# LANGUAGE NoImplicitPrelude #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE FlexibleInstances #-}
+{-# LANGUAGE UndecidableInstances #-}
+{-# LANGUAGE FlexibleContexts #-}
+module Synthesizer.Filter.Graph where
+
+import qualified Prelude as P
+import NumericPrelude.Base
+import NumericPrelude.Numeric
+
+import qualified Synthesizer.Filter.Basic as FilterBasic
+import Synthesizer.Filter.Basic (Filter, apply, )
+import qualified Data.Map as Map
+import Data.Map(Map)
+import MathObj.DiscreteMap()  {- Module.C instances for Map -}
+
+import qualified Number.Complex         as Complex
+import qualified Algebra.RealRing      as RealRing
+import qualified Algebra.Additive       as Additive
+import qualified Algebra.Transcendental as Trans
+import qualified Algebra.Module         as Module
+import Algebra.Module((*>))
+import Orthogonals(Scalar,inverse,add_to_diagonal)
+
+
+{-|
+A filter network is a graph consisting
+of nodes (input and output signals)
+and edges (filter processes).
+Output signals can be taken from every node,
+inputs can be injected in some nodes
+which means that the signal at this node is superposed with
+the injected signal.
+The same can be achieved by duplicating the network,
+one duplicate per input,
+and superposing the corresponding outputs.
+It is also sensible to setup a graph without inputs,
+e.g. a recursive filter with some initial conditions
+that works independent from any input.
+
+In opposition to electric filter networks
+digital filter networks must be directed.
+
+Test-case: leap-frog filters like
+
+>     +-----------[d]-----------+
+>     v                         |
+>(u) -+-> [a] (v) -+-> [b] (w) -+-> [c] (y) -+->
+>                  ^                         |
+>                  +-----------[e]-----------+
+
+@
+v = a·(u + d·w)
+w = b·(v + e·y)
+y = c· w
+@
+
+We model the general network by a list of nodes,
+where each node is an adder that holds a list of its inputs.
+Each input of a node is an output
+of another node that has gone through a processor.
+Additionally there may be one input from outside.
+In principle a processor could be a simple filter network
+as defined by the structure 'Filter'.
+
+The network is an applyable filter
+whenever each circle contains a delay.
+To compute the transfer function
+we have to solve a system of linear equations
+which we can construct quite straight forward
+from the processors' input lists.
+
+The current design can be abstractly seen
+as the system of linear equations:
+
+  y = A*y + u
+
+where A is a matrix containing the edges hosting the filters,
+y the vector of output signals,
+u the vector of input signals.
+In this formulation the number of inputs and outputs must match
+but since you are free to ignore some of the inputs and outputs
+you can use nodes for pure output, pure input or both of them.
+
+-}
+
+newtype T filter i t a v =
+   C (Map i
+      [(i,          {- index of the processor whose output goes in here -}
+        filter t a v  {- description of the filter -}
+        )])
+
+
+newtype Signal list i v = Signal (Map i (list v))
+
+
+fromList :: (Ord i) => [(i, [(i, filter t a v)])] -> T filter i t a v
+fromList = C . Map.fromList
+
+toList :: T filter i t a v -> [(i, [(i, filter t a v)])]
+toList (C fg) = Map.toList fg
+
+signalFromList :: (Ord i) => [(i, list v)] -> Signal list i v
+signalFromList = Signal . Map.fromList
+
+signalToList :: Signal list i v -> [(i, list v)]
+signalToList (Signal x) = Map.toList x
+
+lookupSignal :: (Ord i) => Signal list i v -> i -> Maybe (list v)
+lookupSignal (Signal x) = flip Map.lookup x
+
+
+{-
+  These instance may help to include FilterGraphs
+  in even bigger structures.
+-}
+instance (Ord i, Additive.C (list v), Eq (list v))
+            => Additive.C (Signal list i v) where
+   zero                      = Signal Additive.zero
+   (+) (Signal x) (Signal y) = Signal ((Additive.+) x y)
+   (-) (Signal x) (Signal y) = Signal ((Additive.-) x y)
+   negate (Signal x)         = Signal (Additive.negate x)
+
+instance (Ord i, Eq a, Additive.C a, Additive.C (list v), Eq (list v),
+              Module.C a v, Module.C a (list v))
+                 => Module.C a (Signal list i v) where
+   s *> (Signal x) = Signal (s *> x)
+
+
+{-
+   It would be interesting to make FilterGraphs
+   an instance of Filter.
+   To achieve that we had to make GraphSignals an instance of Module.C
+   and the transferFunction would no longer return a factor
+   but a function that maps input amplitudes
+   of a given frequency to output amplitudes.
+
+instance (Ord i, Show i, Filter list filter) =>
+      Filter (Signal list i) (T filter i) where
+-}
+
+apply :: (Ord i, Show i, Additive.C t, Trans.C t, RealRing.C t,
+          Module.C a v, Module.C a (list v),
+          Filter list filter) =>
+   T filter i t a v -> Signal list i v -> Signal list i v
+apply (C fg) (Signal inputs) =
+   let getInput  i = Map.findWithDefault Additive.zero i inputs
+       getOutput i = Map.findWithDefault
+                         (error ("Unknown processor: "++show i)) i outputs
+       output i edges =
+          foldl (Additive.+) (getInput i) (map (\(j,f) ->
+                   FilterBasic.apply f (getOutput j)) edges)
+       outputs = Map.mapWithKey output fg
+   in  Signal outputs
+
+{-| Compute a matrix that tells how an input frequency
+    is mapped to the various output nodes.
+
+   According to the formulation given above
+   we have to invert the matrix (I-A).
+
+   Currently this is done by a QR decomposition for each frequency.
+   It would be probably faster if we decompose
+   the matrix containing polynomial elements.
+   Then the inverted matrix would consist of some
+   polynomial ratios which can be evaluated for each frequency.
+-}
+transferFunction ::
+   (Ord i, Show i, Trans.C t,
+    P.Fractional (Complex.T t), Scalar (Complex.T t),
+      Module.C a t, Filter list filter) =>
+         T filter i t a v -> t -> [[Complex.T t]]
+transferFunction (C fg) w =
+   let keys = Map.keys fg
+       elts = Map.elems fg
+       inputsToMap procs =
+          Map.mapWithKey (\_ f -> FilterBasic.transferFunction f w)
+                         (Map.fromList procs)
+       makeRow procs =
+          map (flip (Map.findWithDefault 0) (inputsToMap procs)) keys
+       matrix = map makeRow elts
+   in  inverse (add_to_diagonal (-1) matrix)
diff --git a/src/Synthesizer/Filter/Graphic.hs b/src/Synthesizer/Filter/Graphic.hs
new file mode 100644
--- /dev/null
+++ b/src/Synthesizer/Filter/Graphic.hs
@@ -0,0 +1,7 @@
+module Synthesizer.Filter.Graphic where
+
+{-|
+  This module should be populated with functions
+  that create flowchart graphics from the filter networks
+  of the 'Composition' module.
+-}
diff --git a/src/Synthesizer/Filter/MonadFix.hs b/src/Synthesizer/Filter/MonadFix.hs
new file mode 100644
--- /dev/null
+++ b/src/Synthesizer/Filter/MonadFix.hs
@@ -0,0 +1,44 @@
+module Synthesizer.Filter.MonadFix where
+
+import qualified Synthesizer.Filter.Graph as Graph
+import qualified Synthesizer.Filter.Fix   as FFix
+
+import Synthesizer.Filter.Fix (Channel(Channel), ChannelId)
+
+import Control.Monad.Trans.State (StateT, evalStateT, get, modify, )
+import Control.Monad.Trans.Writer (Writer, execWriter, tell, )
+import Control.Monad.Trans.Class (lift, )
+
+
+{-|
+If you find 'Filter.Fix.T' still inconvenient,
+and if you don't care about portability,
+you can also use the following monad with the @mdo@ notation.
+
+> mdo
+>   v <- a·(u + d·w)
+>   w <- b·(v + e·y)
+>   y <- c· w
+
+-}
+
+
+type T filter t a v x  =  StateT ChannelId (Writer [Channel filter t a v]) x
+
+makeChannel ::
+   [(ChannelId, filter t a v)] ->
+   T filter t a v ChannelId
+makeChannel inputs =
+   do n <- get
+      modify succ
+      lift $ tell [Channel n inputs]
+      return n
+
+
+run :: T filter t a v x -> [Channel filter t a v]
+run m = execWriter (evalStateT m 0)
+
+
+toGraph :: T filter t a v x -> Graph.T filter Int t a v
+toGraph =
+   Graph.fromList . map (\(Channel n inputs) -> (n, inputs)) . run
diff --git a/src/Synthesizer/Filter/OneWay.hs b/src/Synthesizer/Filter/OneWay.hs
new file mode 100644
--- /dev/null
+++ b/src/Synthesizer/Filter/OneWay.hs
@@ -0,0 +1,76 @@
+{-# LANGUAGE NoImplicitPrelude #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE FlexibleInstances #-}
+module Synthesizer.Filter.OneWay where
+
+import Synthesizer.Filter.Basic
+
+import qualified Synthesizer.Plain.Interpolation as Interpolation
+import qualified Synthesizer.Plain.Filter.NonRecursive as FiltNR
+import Number.Complex(cis)
+
+import qualified Algebra.Module   as Module
+import qualified Algebra.Ring     as Ring
+import qualified Algebra.Additive as Additive
+
+import Algebra.Module(linearComb)
+import Algebra.Additive(zero)
+
+import NumericPrelude.Base
+import NumericPrelude.Numeric
+
+type Signal = []
+
+{-| shift signal in time -}
+delay :: (Additive.C v) =>
+   Int -> Signal v -> Signal v
+delay = FiltNR.delayPad zero
+
+delayOnce :: (Additive.C v) =>
+   Signal v -> Signal v
+delayOnce = (zero:)
+
+
+{-| Unmodulated non-recursive filter -}
+nonRecursiveFilter :: Module.C a v =>
+      [a] -> [v] -> [v]
+nonRecursiveFilter = FiltNR.generic
+
+{-| Modulated non-recursive filter. -}
+nonRecursiveFilterMod :: Module.C a v =>
+   [[a]] -> [v] -> [v]
+nonRecursiveFilterMod ms x =
+   zipWith linearComb ms (tail (scanl (flip (:)) [] x))
+
+
+{-| Description of a basic filter that can be used in larger networks. -}
+data T t a v =
+     Mask [a]
+        {-^ A static filter described by its mask -}
+   | ModMask (Signal [a])
+        {-^ A modulated filter described by a list of masks -}
+   | FracDelay (Interpolation.T t v) t
+        {-^ Delay the signal by a fractional amount of samples.
+            This is achieved by interpolation. -}
+   | ModFracDelay (Interpolation.T t v) (Signal t)
+        {-^ Delay with varying delay times.
+            The delay times sequence must monotonically decrease.
+            (This includes constant parts!) -}
+   | Delay [v]
+        {-^ Delay the signal by prepending another one -}
+
+instance Filter [] T where
+
+   apply (Mask         m)     = nonRecursiveFilter m
+   apply (ModMask      m)     = nonRecursiveFilterMod m
+   apply (FracDelay    ip t)  = Interpolation.multiRelativeZeroPad zero
+                                   ip (-t) (repeat 1)
+   apply (ModFracDelay ip ts) = Interpolation.multiRelativeZeroPad zero
+                                   ip (- head ts) (repeat 1 - FiltNR.differentiate ts)
+   apply (Delay        x)     = (x++)
+
+   transferFunction (Mask        m) w = linearComb m (screw (negate w))
+   transferFunction (FracDelay _ t) w = cis (negate w * t)
+   transferFunction (Delay       x) w = cis (negate w * fromIntegral (length x))
+   transferFunction _ _ =
+      error "transfer function can't be computed for modulated filters"
diff --git a/src/Synthesizer/Filter/TwoWay.hs b/src/Synthesizer/Filter/TwoWay.hs
new file mode 100644
--- /dev/null
+++ b/src/Synthesizer/Filter/TwoWay.hs
@@ -0,0 +1,247 @@
+{-# LANGUAGE NoImplicitPrelude #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE FlexibleInstances #-}
+module Synthesizer.Filter.TwoWay where
+
+import Synthesizer.Filter.Basic
+
+import qualified Synthesizer.Plain.Signal as Sig
+import qualified Synthesizer.Plain.Interpolation as Ip
+import qualified Synthesizer.Plain.Interpolation as Interpolation
+
+import Algebra.Module(linearComb,(*>))
+
+import qualified Algebra.Module    as Module
+import qualified Algebra.RealRing as RealRing
+import qualified Algebra.Ring      as Ring
+import qualified Algebra.Additive  as Additive
+
+import Number.Complex(cis, )
+import Data.Function.HT (nest, )
+import qualified Data.List as List
+
+import NumericPrelude.Base hiding (take)
+import NumericPrelude.Numeric
+
+
+{-| A TwoWay.Signal stores values of the past and the future -}
+data Signal v = Signal {past, future :: [v]}
+   deriving (Show, Eq)
+
+{-| Take n values starting from time zero.
+    If you want clips from elsewhere,
+    call 'take' after 'delay'. -}
+take :: Int -> Signal v -> [v]
+take n (Signal _ x) = List.take n x
+
+zipSignalWith :: (a -> b -> c) -> Signal a -> Signal b -> Signal c
+zipSignalWith f (Signal xPast xFuture) (Signal yPast yFuture) =
+   (Signal (zipWith f xPast yPast) (zipWith f xFuture yFuture))
+
+{-| Take the value at time zero. -}
+origin :: Ring.C a => Signal a -> a
+origin (Signal _ (x:_)) = x
+origin _ = 0
+
+{-| A signal that consists entirely of ones -}
+ones :: Ring.C a => Signal a
+ones = Signal (repeat 1) (repeat 1)
+
+{-| shift signal in time,
+    keep all values but if required pad with zeros -}
+delay :: (Additive.C v) =>
+   Int -> Signal v -> Signal v
+delay = delayGen delayOnce
+
+delayPad :: v -> Int -> Signal v -> Signal v
+delayPad z = delayGen (delayPadOnce z)
+
+{-| shift signal in time,
+    zero values at either ends will be flushed -}
+delayOpt :: (Eq v, Additive.C v) =>
+   Int -> Signal v -> Signal v
+delayOpt = delayGen delayOptOnce
+
+
+{-| Delay by one sample. -}
+delayOnce :: (Additive.C v) =>
+   Signal v -> Signal v
+--delayOnce (Signal []     []) = ([],[])
+delayOnce (Signal []     ys) = Signal [] (zero:ys)
+delayOnce (Signal (x:xs) ys) = Signal xs (x:ys)
+
+delayPadOnce :: v -> Signal v -> Signal v
+--delayPadOnce _ (Signal []     []) = ([],[])
+delayPadOnce z (Signal []     ys) = Signal [] (z:ys)
+delayPadOnce _ (Signal (x:xs) ys) = Signal xs (x:ys)
+
+delayOptOnce :: (Eq v, Additive.C v) =>
+   Signal v -> Signal v
+--delayOptOnce (Signal []     []) = Signal [] []
+delayOptOnce (Signal []     ys) = Signal [] (zero:ys)
+delayOptOnce (Signal (x:xs) []) = Signal xs (if x==zero then [] else x:[])
+delayOptOnce (Signal (x:xs) ys) = Signal xs (x:ys)
+
+
+{-| General routine that supports delaying and prefetching
+    using a general one-sample delaying routine. -}
+delayGen :: (Signal v -> Signal v) ->
+               Int -> Signal v -> Signal v
+{- Using this optimization applications of recursive filters
+   with zero initial conditions represented by an empty list will fail.
+   This is because in this case the value of the first item of the future list
+   depends on the first item of the input future list,
+   whereas normally the first future value depends on no input future value,
+   at all.
+delayGen _ _ (Signal [] []) = Signal [] []
+   cf. the next example -}
+delayGen delOnce t =
+    if t < 0
+    then reverseTwoWay . nest (negate t) delOnce . reverseTwoWay
+    else nest t delOnce
+
+reverseTwoWay :: Signal v -> Signal v
+reverseTwoWay (Signal x y) = Signal y x
+
+
+instance (Additive.C v) => Additive.C (Signal v) where
+   zero                                = Signal zero zero
+   (+)   (Signal y0 y1) (Signal x0 x1) = Signal (y0 + x0)   (y1 + x1)
+   (-)   (Signal y0 y1) (Signal x0 x1) = Signal (y0 - x0)   (y1 - x1)
+   negate               (Signal x0 x1) = Signal (negate x0) (negate x1)
+
+instance (Module.C a v) => Module.C a (Signal v) where
+   (*>)  s      (Signal x0 x1) = Signal (s *> x0) (s *> x1)
+
+
+
+
+{-| for a Signal this means a reversion of the elements -}
+flipPair :: (a,b) -> (b,a)
+flipPair (x,y) = (y,x)
+
+{- This example simulates what happens if you call
+     apply (Feedback (Serial []) (Prim (Delay 1)) []) ([],[1])
+   depending on the implementation of delayGen it may work or
+   loop infinitely when yFuture is computed.
+   It's even before the first element of yFuture is computed.
+   Note, that the equivalent
+     apply (Feedback (Serial []) (Prim (Delay 1)) [0]) ([],[1])
+   works! (i.e. set yPast = [0] -}
+testDelayGen :: Signal Double
+testDelayGen =
+   let yPast = []
+       x = Signal [] [1]
+       y = Signal yPast yFuture
+       Signal _ yFuture = delayOnce (x + y)
+       -- Signal _ yFuture = delayOptOnce (add x y)
+       -- Signal _ yFuture = delayGen delayOnce 1 (add x y)
+   in  Signal yPast (List.take 10 yFuture)
+
+
+
+{-| Unmodulated non-recursive filter -}
+nonRecursiveFilter :: Module.C a v =>
+      [a] -> Signal v -> Signal v
+nonRecursiveFilter m x =
+   linearComb m (iterate delayOnce x)
+
+{-| Modulated non-recursive filter.
+    The number of values before time 0 (past) or
+    the filter mask lengths must be at most finite. -}
+nonRecursiveFilterMod :: Module.C a v =>
+   Signal [a] -> Signal v -> Signal v
+nonRecursiveFilterMod (Signal mpre msuf) x =
+   let (pre, suf) = unzip (map (\(Signal a b) -> (a,b)) (iterate delayOnce x))
+   in  Signal (zipWith linearComb mpre pre) (zipWith linearComb msuf suf)
+
+
+{-| Interpolation allowing negative frequencies,
+    but requires storage of all past values. -}
+interpolatePaddedZero :: (Ord a, RealRing.C a) =>
+   b -> Interpolation.T a b
+      -> a -> Signal a -> Signal b -> Signal b
+interpolatePaddedZero z ip phase fs (Signal xPast xFuture) =
+   let (phInt, phFrac) = splitFraction phase
+       xPadded = Signal (xPast ++ repeat z) (xFuture ++ repeat z)
+   in  interpolateCore ip phFrac fs
+          (delayPad z (Ip.offset ip - phInt) xPadded)
+
+interpolatePaddedCyclic :: (Ord a, RealRing.C a) =>
+   Interpolation.T a b
+      -> a -> Signal a -> Signal b -> Signal b
+interpolatePaddedCyclic ip phase fs (Signal xPast xFuture) =
+   let (phInt, phFrac) = splitFraction phase
+       xCyclic = xFuture ++ reverse xPast
+   in  interpolateCore ip phFrac fs
+          -- mod is for efficiency, only
+          (delayPad (error "interpolate: infinite signal needs no zero padding")
+                    (mod (Ip.offset ip - phInt) (length xCyclic))
+                    (Signal (cycle (reverse xCyclic)) (cycle xCyclic)))
+
+-- note that the extrapolation may miss some of the first and some of the last points
+interpolatePaddedExtrapolation :: (Ord a, RealRing.C a) =>
+   Interpolation.T a b
+      -> a -> Signal a -> Signal b -> Signal b
+interpolatePaddedExtrapolation ip phase fs x =
+   interpolateCore ip (phase - fromIntegral (Ip.offset ip)) fs x
+
+interpolateCore :: (Ord a, Ring.C a) =>
+   Interpolation.T a b -> a -> Signal a -> Signal b -> Signal b
+interpolateCore ip phase (Signal freqPast freqFuture) x =
+   Signal (interpolateHalfWay ip (1-phase) freqPast
+             (delayPadOnce (error "interpolateCore: infinite signal needs no zero padding")
+                           (reverseTwoWay x)))
+          (interpolateHalfWay ip phase freqFuture x)
+
+interpolateHalfWay :: (Ord a, Ring.C a) =>
+   Interpolation.T a b -> a -> [a] -> Signal b -> [b]
+interpolateHalfWay ip phase freqs (Signal xPast xFuture) =
+    if phase >= 1 && Sig.lengthAtLeast (1+Ip.number ip) xFuture
+    then interpolateHalfWay ip (phase-1) freqs
+            (Signal (head xFuture : xPast) (tail xFuture))
+    else if phase < 0 && Sig.lengthAtLeast 1 xPast
+         then interpolateHalfWay ip (phase + 1) freqs
+                 (Signal (tail xPast) (head xPast : xFuture))
+         else Ip.func ip phase xFuture :
+              interpolateHalfWay ip (phase + head freqs) (tail freqs)
+                 (Signal xPast xFuture)
+
+
+{-| Description of a basic filter that can be used in larger networks. -}
+data T t a v =
+     Mask [a]
+        {-^ A static filter described by its mask -}
+   | ModMask (Signal [a])
+        {-^ A modulated filter described by a list of masks -}
+   | FracDelay (Interpolation.T t v) t
+        {-^ Delay the signal by a fractional amount of samples.
+            This is achieved by interpolation. -}
+   | ModFracDelay (Interpolation.T t v) (Signal t)
+        {-^ Delay with varying delay times. -}
+   | Delay Int
+        {-^ Delay the signal by given amount of samples. -}
+   | Past [v]
+        {-^ Replace the past by the given one.
+            This must be present in each recursive filter cycle
+            to let the magic work! -}
+
+instance Filter Signal T where
+
+   apply (Mask         m)     = nonRecursiveFilter m
+   apply (ModMask      m)     = nonRecursiveFilterMod m
+   apply (FracDelay    ip t)  = interpolatePaddedZero zero
+                                   ip (-t) ones
+   apply (ModFracDelay ip ts) = interpolatePaddedZero zero
+                                   ip (- origin ts) (ts - delay (-1) ts + ones)
+   apply (Delay        t)     = delay t
+   apply (Past         x)     = Signal x . future
+
+   {- This is in principle the same as for one way filters.
+      How can one merge them? -}
+   transferFunction (Mask        m) w = linearComb m (screw (negate w))
+   transferFunction (FracDelay _ t) w = cis (negate w * t)
+   transferFunction (Delay       t) w = cis (negate w * fromIntegral t)
+   transferFunction (Past        _) _ = 1
+   transferFunction _ _ =
+      error "transfer function can't be computed for modulated filters"
diff --git a/synthesizer-filter.cabal b/synthesizer-filter.cabal
new file mode 100644
--- /dev/null
+++ b/synthesizer-filter.cabal
@@ -0,0 +1,49 @@
+Name:           synthesizer-filter
+Version:        0.4
+License:        GPL
+License-File:   LICENSE
+Author:         Henning Thielemann <haskell@henning-thielemann.de>
+Maintainer:     Henning Thielemann <haskell@henning-thielemann.de>
+Homepage:       http://www.haskell.org/haskellwiki/Synthesizer
+Category:       Sound
+Synopsis:       Audio signal processing coded in Haskell: Filter networks
+Description:
+  In this package we experiment with various ways
+  of representing filter networks.
+  However, none of them is mature so far.
+Stability:      Experimental
+Tested-With:    GHC==6.8.2, GHC==6.10.4
+Cabal-Version:  >=1.6
+Build-Type:     Simple
+
+Source-Repository this
+  Tag:         0.4
+  Type:        darcs
+  Location:    http://code.haskell.org/synthesizer/filter/
+
+Source-Repository head
+  Type:        darcs
+  Location:    http://code.haskell.org/synthesizer/filter/
+
+Library
+  Build-Depends:
+    synthesizer-core >=0.4 && <0.5,
+    transformers >=0.2 && <0.3,
+    numeric-prelude >=0.2 && <0.3,
+    numeric-quest >= 0.1 && <0.2,
+    utility-ht >=0.0.5 && <0.1,
+    containers >=0.1 && <0.4,
+    base >= 3 && <5
+
+  GHC-Options:    -Wall
+  Hs-source-dirs: src
+  Exposed-modules:
+    Synthesizer.Filter.Basic
+    Synthesizer.Filter.Composition
+    Synthesizer.Filter.Example
+    Synthesizer.Filter.Fix
+    Synthesizer.Filter.Graph
+    Synthesizer.Filter.Graphic
+    Synthesizer.Filter.MonadFix
+    Synthesizer.Filter.OneWay
+    Synthesizer.Filter.TwoWay
