Mercurial > hg > js-dsp-test
view fft/nayuki-obj/fft.js @ 29:cf59817a5983
Build stuff for native
author | Chris Cannam |
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date | Sat, 17 Oct 2015 15:00:08 +0100 |
parents | e705de983b67 |
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/* * Free FFT and convolution (JavaScript) * * Copyright (c) 2014 Project Nayuki * http://www.nayuki.io/page/free-small-fft-in-multiple-languages * * (MIT License) * Permission is hereby granted, free of charge, to any person obtaining a copy of * this software and associated documentation files (the "Software"), to deal in * the Software without restriction, including without limitation the rights to * use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of * the Software, and to permit persons to whom the Software is furnished to do so, * subject to the following conditions: * - The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * - The Software is provided "as is", without warranty of any kind, express or * implied, including but not limited to the warranties of merchantability, * fitness for a particular purpose and noninfringement. In no event shall the * authors or copyright holders be liable for any claim, damages or other * liability, whether in an action of contract, tort or otherwise, arising from, * out of or in connection with the Software or the use or other dealings in the * Software. * * Slightly restructured by Chris Cannam, cannam@all-day-breakfast.com */ "use strict"; /* * Construct an object for calculating the discrete Fourier transform (DFT) of size n, where n is a power of 2. */ function FFTNayuki(n) { this.n = n; this.levels = -1; for (var i = 0; i < 32; i++) { if (1 << i == n) { this.levels = i; // Equal to log2(n) } } if (this.levels == -1) { throw "Length is not a power of 2"; } this.cosTable = new Array(n / 2); this.sinTable = new Array(n / 2); for (var i = 0; i < n / 2; i++) { this.cosTable[i] = Math.cos(2 * Math.PI * i / n); this.sinTable[i] = Math.sin(2 * Math.PI * i / n); } /* * Computes the discrete Fourier transform (DFT) of the given complex vector, storing the result back into the vector. * The vector's length must be equal to the size n that was passed to the object constructor, and this must be a power of 2. Uses the Cooley-Tukey decimation-in-time radix-2 algorithm. */ this.forward = function(real, imag) { var n = this.n; // Bit-reversed addressing permutation for (var i = 0; i < n; i++) { var j = reverseBits(i, this.levels); if (j > i) { var temp = real[i]; real[i] = real[j]; real[j] = temp; temp = imag[i]; imag[i] = imag[j]; imag[j] = temp; } } // Cooley-Tukey decimation-in-time radix-2 FFT for (var size = 2; size <= n; size *= 2) { var halfsize = size / 2; var tablestep = n / size; for (var i = 0; i < n; i += size) { for (var j = i, k = 0; j < i + halfsize; j++, k += tablestep) { var tpre = real[j+halfsize] * this.cosTable[k] + imag[j+halfsize] * this.sinTable[k]; var tpim = -real[j+halfsize] * this.sinTable[k] + imag[j+halfsize] * this.cosTable[k]; real[j + halfsize] = real[j] - tpre; imag[j + halfsize] = imag[j] - tpim; real[j] += tpre; imag[j] += tpim; } } } // Returns the integer whose value is the reverse of the lowest 'bits' bits of the integer 'x'. function reverseBits(x, bits) { var y = 0; for (var i = 0; i < bits; i++) { y = (y << 1) | (x & 1); x >>>= 1; } return y; } } /* * Computes the inverse discrete Fourier transform (IDFT) of the given complex vector, storing the result back into the vector. * The vector's length must be equal to the size n that was passed to the object constructor, and this must be a power of 2. This is a wrapper function. This transform does not perform scaling, so the inverse is not a true inverse. */ this.inverse = function(real, imag) { forward(imag, real); } }