module Statistics.Transform
(
CD
, dct
, dct_
, idct
, idct_
, fft
, ifft
) where
import Control.Monad (when)
import Control.Monad.ST (ST)
import Data.Bits (shiftL, shiftR)
import Data.Complex (Complex(..), conjugate, realPart)
import Numeric.SpecFunctions (log2)
import qualified Data.Vector.Generic as G
import qualified Data.Vector.Generic.Mutable as M
import qualified Data.Vector.Unboxed as U
import qualified Data.Vector as V
type CD = Complex Double
dct :: (G.Vector v CD, G.Vector v Double, G.Vector v Int) => v Double -> v Double
dct = dctWorker . G.map (:+0)
dct_ :: (G.Vector v CD, G.Vector v Double, G.Vector v Int) => v CD -> v Double
dct_ = dctWorker . G.map (\(i :+ _) -> i :+ 0)
dctWorker :: (G.Vector v CD, G.Vector v Double, G.Vector v Int) => v CD -> v Double
dctWorker xs
| G.length xs == 1 = G.map ((2*) . realPart) xs
| vectorOK xs = G.map realPart $ G.zipWith (*) weights (fft interleaved)
| otherwise = error "Statistics.Transform.dct: bad vector length"
where
interleaved = G.backpermute xs $ G.enumFromThenTo 0 2 (len2) G.++
G.enumFromThenTo (len1) (len3) 1
weights = G.cons 2 . G.generate (len1) $ \x ->
2 * exp ((0:+(1))*fi (x+1)*pi/(2*n))
where n = fi len
len = G.length xs
idct :: (G.Vector v CD, G.Vector v Double) => v Double -> v Double
idct = idctWorker . G.map (:+0)
idct_ :: (G.Vector v CD, G.Vector v Double) => v CD -> v Double
idct_ = idctWorker . G.map (\(i :+ _) -> i :+ 0)
idctWorker :: (G.Vector v CD, G.Vector v Double) => v CD -> v Double
idctWorker xs
| vectorOK xs = G.generate len interleave
| otherwise = error "Statistics.Transform.dct: bad vector length"
where
interleave z | even z = vals `G.unsafeIndex` halve z
| otherwise = vals `G.unsafeIndex` (len halve z 1)
vals = G.map realPart . ifft $ G.zipWith (*) weights xs
weights
= G.cons n
$ G.generate (len 1) $ \x -> 2 * n * exp ((0:+1) * fi (x+1) * pi/(2*n))
where n = fi len
len = G.length xs
ifft :: G.Vector v CD => v CD -> v CD
ifft xs
| vectorOK xs = G.map ((/fi (G.length xs)) . conjugate) . fft . G.map conjugate $ xs
| otherwise = error "Statistics.Transform.ifft: bad vector length"
fft :: G.Vector v CD => v CD -> v CD
fft v | vectorOK v = G.create $ do mv <- G.thaw v
mfft mv
return mv
| otherwise = error "Statistics.Transform.fft: bad vector length"
mfft :: (M.MVector v CD) => v s CD -> ST s ()
mfft vec = bitReverse 0 0
where
bitReverse i j | i == len1 = stage 0 1
| otherwise = do
when (i < j) $ M.swap vec i j
let inner k l | k <= l = inner (k `shiftR` 1) (lk)
| otherwise = bitReverse (i+1) (l+k)
inner (len `shiftR` 1) j
stage l !l1 | l == m = return ()
| otherwise = do
let !l2 = l1 `shiftL` 1
!e = 6.283185307179586/fromIntegral l2
flight j !a | j == l1 = stage (l+1) l2
| otherwise = do
let butterfly i | i >= len = flight (j+1) (a+e)
| otherwise = do
let i1 = i + l1
xi1 :+ yi1 <- M.read vec i1
let !c = cos a
!s = sin a
d = (c*xi1 s*yi1) :+ (s*xi1 + c*yi1)
ci <- M.read vec i
M.write vec i1 (ci d)
M.write vec i (ci + d)
butterfly (i+l2)
butterfly j
flight 0 0
len = M.length vec
m = log2 len
fi :: Int -> CD
fi = fromIntegral
halve :: Int -> Int
halve = (`shiftR` 1)
vectorOK :: G.Vector v a => v a -> Bool
vectorOK v = (1 `shiftL` log2 n) == n where n = G.length v