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Scala example source code file (fft.scala)
The Scala fft.scala source code/* * http://local.wasp.uwa.edu.au/~pbourke/miscellaneous/dft/ Modification of Paul Bourkes FFT code by Peter Cusack to utilise the Microsoft complex type. This computes an in-place complex-to-complex FFT x and y are the real and imaginary arrays of 2^m points. dir = 1 gives forward transform dir = -1 gives reverse transform */ import Math.{sqrt, pow} /** Test that specialization handles tuples. Perform FFT transformation * using pairs to represent complex numbers. */ object Test { type Complex = (Double, Double) def swap(x: Array[Complex], i: Int, j: Int) { val tmp = x(i) x(i) = x(j) x(j) = tmp } def times(x: Complex, y: Complex): Complex = (x._1 * y._1 - x._2 * y._2, x._1 * y._2 + x._2 * y._1) def div(x: Complex, y: Complex): Complex = { val num = pow(y._1, 2) + pow(y._2, 2) ((x._1 * y._1 + x._2 * y._2)/num, (x._2 * y._1 - x._1 * y._2)/num) } def div(x: Complex, y: Long) = (x._1 / y, x._2 / y) def add(x: Complex, y: Complex) = (x._1 + y._1, x._2 + y._2) def minus(x: Complex, y: Complex) = (x._1 - y._1, x._2 - y._2) def FFT(dir: Int, m: Long, x: Array[(Double, Double)]) { var i, i1, i2,j, k, l, l1, l2, n = 0l // complex <double> tx, t1, u, c; var tx, t1, u, c = (0.0, 0.0) /*Calculate the number of points */ n = 1 for (i <- 0l until m) n <<= 1 /* Do the bit reversal */ i2 = n >> 1 j = 0 for (i <- 0l until (n - 1)) { if (i < j) swap(x, i.toInt, j.toInt); k = i2; while (k <= j) { j -= k; k >>= 1; } j += k; } /* Compute the FFT */ // c.real(-1.0); // c.imag(0.0); c = (-1.0, 0.0) l2 = 1 for (l <- 0l until m) { l1 = l2 l2 <<= 1; // u.real(1.0); // u.imag(0.0); u = (1.0, 0.0) for (j <- 0l until l1) { for (i <- j.until(n, l2)) { i1 = i + l1; t1 = times(u, x(i1.toInt)) x(i1.toInt) = minus(x(i.toInt), t1) x(i.toInt) = add(x(i.toInt), t1) } u = times(u, c) } // c.imag(sqrt((1.0 - c.real()) / 2.0)); c = (c._1, sqrt( (1.0 - c._1) / 2.0 )) // if (dir == 1) // c.imag(-c.imag()); if (dir == 1) c = (c._1, -c._2) // c.real(sqrt((1.0 + c.real()) / 2.0)); c = (sqrt( (1.0 + c._1) / 2.0), c._2) } /* Scaling for forward transform */ if (dir == 1) { for (i <- 0l until n) x(i.toInt) = div(x(i.toInt), n) } } def run() { FFT(1, 16, data) } var data: Array[Complex] = null def inputFileName = { val cwd = System.getProperty("partest.cwd") if (cwd ne null) cwd + java.io.File.separator + "input2.txt" else "input2.txt" } def setUp { // print("Loading from %s.. ".format(inputFileName)) val f = io.Source.fromFile(inputFileName) val lines = f.getLines val n = lines.next.toInt data = new Array[Complex](n) var i = 0 for (line <- lines if line != "") { val pair = line.trim.split(" ") data(i) = (pair(0).trim.toDouble, pair(1).trim.toDouble) i += 1 } // println("[loaded]") println("Processing " + n + " items") } def main(args: Array[String]) { setUp run() println("Boxed doubles: " + runtime.BoxesRunTime.doubleBoxCount) println("Boxed ints: " + runtime.BoxesRunTime.integerBoxCount) println("Boxed longs: " + runtime.BoxesRunTime.longBoxCount) } } Other Scala examples (source code examples)Here is a short list of links related to this Scala fft.scala source code file: |
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