RosettaCodeData/Task/Fast-Fourier-transform/Scala/fast-fourier-transform-2.scala
2023-07-01 13:44:08 -04:00

25 lines
937 B
Scala

def _fft(cSeq: Seq[Complex], direction: Complex, scalar: Int): Seq[Complex] = {
if (cSeq.length == 1) {
return cSeq
}
val n = cSeq.length
assume(n % 2 == 0, "The Cooley-Tukey FFT algorithm only works when the length of the input is even.")
val evenOddPairs = cSeq.grouped(2).toSeq
val evens = _fft(evenOddPairs map (_(0)), direction, scalar)
val odds = _fft(evenOddPairs map (_(1)), direction, scalar)
def leftRightPair(k: Int): Pair[Complex, Complex] = {
val base = evens(k) / scalar
val offset = exp(direction * (Pi * k / n)) * odds(k) / scalar
(base + offset, base - offset)
}
val pairs = (0 until n/2) map leftRightPair
val left = pairs map (_._1)
val right = pairs map (_._2)
left ++ right
}
def fft(cSeq: Seq[Complex]): Seq[Complex] = _fft(cSeq, Complex(0, 2), 1)
def rfft(cSeq: Seq[Complex]): Seq[Complex] = _fft(cSeq, Complex(0, -2), 2)