synthesizer-dimensional-0.2: src/Synthesizer/Dimensional/Amplitude/Analysis.hs
{- |
Copyright : (c) Henning Thielemann 2008
License : GPL
Maintainer : synthesizer@henning-thielemann.de
Stability : provisional
Portability : requires multi-parameter type classes
-}
module Synthesizer.Dimensional.Amplitude.Analysis (
volumeMaximum,
volumeEuclidean,
volumeSum,
volumeVectorMaximum,
volumeVectorEuclidean,
volumeVectorSum,
directCurrentOffset,
rectify,
flipFlopHysteresis,
compare,
lessOrEqual,
) where
import qualified Synthesizer.Dimensional.Abstraction.RateIndependent as Ind
import qualified Synthesizer.Dimensional.Abstraction.Homogeneous as Hom
-- import qualified Synthesizer.Dimensional.RatePhantom as RP
import qualified Synthesizer.Dimensional.Straight.Signal as SigS
import qualified Synthesizer.Dimensional.Amplitude.Signal as SigA
import qualified Synthesizer.Dimensional.Amplitude.Cut as CutD
-- import Synthesizer.Dimensional.Amplitude.Signal (toAmplitudeScalar)
import qualified Synthesizer.State.Analysis as Ana
import qualified Synthesizer.State.Signal as Sig
import qualified Number.DimensionTerm as DN
import qualified Algebra.DimensionTerm as Dim
import Number.DimensionTerm ((*&))
import qualified Algebra.NormedSpace.Maximum as NormedMax
import qualified Algebra.NormedSpace.Euclidean as NormedEuc
import qualified Algebra.NormedSpace.Sum as NormedSum
import qualified Algebra.Algebraic as Algebraic
import qualified Algebra.Module as Module
import qualified Algebra.Field as Field
import qualified Algebra.Real as Real
import qualified Algebra.Ring as Ring
import PreludeBase (Ord, Bool, (<=), ($), (.), uncurry, )
-- import NumericPrelude
import qualified Prelude as P
{- * Notions of volume -}
{- |
Volume based on Manhattan norm.
-}
{-# INLINE volumeMaximum #-}
volumeMaximum :: (Ind.C w, Real.C y, Dim.C u) =>
w (SigA.S u y) y -> DN.T u y
volumeMaximum = volumeAux Ana.volumeMaximum
{- |
Volume based on Energy norm.
-}
{-# INLINE volumeEuclidean #-}
volumeEuclidean :: (Ind.C w, Algebraic.C y, Dim.C u) =>
w (SigA.S u y) y -> DN.T u y
volumeEuclidean = volumeAux Ana.volumeEuclidean
{- |
Volume based on Sum norm.
-}
{-# INLINE volumeSum #-}
volumeSum :: (Ind.C w, Field.C y, Real.C y, Dim.C u) =>
w (SigA.S u y) y -> DN.T u y
volumeSum = volumeAux Ana.volumeSum
{- |
Volume based on Manhattan norm.
-}
{-# INLINE volumeVectorMaximum #-}
volumeVectorMaximum :: (Ind.C w, NormedMax.C y yv, Ord y, Dim.C u) =>
w (SigA.S u y) yv -> DN.T u y
volumeVectorMaximum = volumeAux Ana.volumeVectorMaximum
{- |
Volume based on Energy norm.
-}
{-# INLINE volumeVectorEuclidean #-}
volumeVectorEuclidean :: (Ind.C w, NormedEuc.C y yv, Algebraic.C y, Dim.C u) =>
w (SigA.S u y) yv -> DN.T u y
volumeVectorEuclidean = volumeAux Ana.volumeVectorEuclidean
{- |
Volume based on Sum norm.
-}
{-# INLINE volumeVectorSum #-}
volumeVectorSum :: (Ind.C w, NormedSum.C y yv, Field.C y, Dim.C u) =>
w (SigA.S u y) yv -> DN.T u y
volumeVectorSum = volumeAux Ana.volumeVectorSum
{-# INLINE volumeAux #-}
volumeAux :: (Ind.C w, Ring.C y, Dim.C u) =>
(Sig.T yv -> y) -> w (SigA.S u y) yv -> DN.T u y
volumeAux vol x =
vol (SigA.samples x) *& SigA.amplitude x
{- * Miscellaneous -}
{- |
Requires finite length.
This is identical to the arithmetic mean.
-}
{-# INLINE directCurrentOffset #-}
directCurrentOffset :: (Ind.C w, Field.C y, Dim.C u) =>
w (SigA.S u y) y -> DN.T u y
directCurrentOffset =
volumeAux Ana.directCurrentOffset
{-# INLINE rectify #-}
rectify :: (Ind.C w, Hom.C sig, Real.C y) =>
w sig y -> w sig y
rectify = Ind.processSignal (Hom.unwrappedProcessSamples Ana.rectify)
{- |
Detect thresholds with a hysteresis.
-}
{-# INLINE flipFlopHysteresis #-}
flipFlopHysteresis :: (Ind.C w, Ord y, Field.C y, Dim.C u) =>
(DN.T u y, DN.T u y) -> Bool ->
w (SigA.S u y) y -> w SigS.S Bool
-- SigA.R s u y y -> SigS.Binary s
flipFlopHysteresis (lower,upper) start x =
let l = SigA.toAmplitudeScalar x lower
h = SigA.toAmplitudeScalar x upper
in Ind.processSignal
(SigS.Cons .
Ana.flipFlopHysteresis (l,h) start .
SigA.privateSamples) x
{- * comparison -}
{-# INLINE compare #-}
compare ::
(Ord y, Field.C y, Dim.C u,
Module.C y yv, Ord yv) =>
SigA.R s u y yv -> SigA.R s u y yv -> SigS.R s P.Ordering
compare x y =
SigS.fromSamples $ Sig.map (uncurry P.compare) $ SigA.samples $ CutD.zip x y
{-# INLINE lessOrEqual #-}
lessOrEqual ::
(Ord y, Field.C y, Dim.C u,
Module.C y yv, Ord yv) =>
SigA.R s u y yv -> SigA.R s u y yv -> SigS.Binary s
lessOrEqual x y =
P.fmap (<= P.EQ) $ compare x y