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mbitsnbites/fft.js

Created May 5, 2016
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Tiny FFT implementation in JavaScript
// This is a tiny radix-2 FFT implementation in JavaScript.
// The function takes a complex valued input signal, and performs an in-place
// Fast Fourier Transform (i.e. the result is returned in x_re, x_im). The
// function arguments can be any Array type (including typed arrays).
// Code size: <300 bytes after Closure Compiler.
function FFT(x_re, x_im) {
var m = x_re.length / 2, k, X_re = [], X_im = [], Y_re = [], Y_im = [],
a, b, tw_re, tw_im;
for (k = 0; k < m; ++k) {
X_re[k] = x_re[2 * k];
X_im[k] = x_im[2 * k];
Y_re[k] = x_re[2 * k + 1];
Y_im[k] = x_im[2 * k + 1];
}
if (m > 1) {
FFT(X_re, X_im);
FFT(Y_re, Y_im);
}
for (k = 0; k < m; ++k) {
a = -Math.PI * k / m, tw_re = Math.cos(a), tw_im = Math.sin(a);
a = tw_re * Y_re[k] - tw_im * Y_im[k];
b = tw_re * Y_im[k] + tw_im * Y_re[k];
x_re[k] = X_re[k] + a;
x_im[k] = X_im[k] + b;
x_re[k + m] = X_re[k] - a;
x_im[k + m] = X_im[k] - b;
}
}
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