Simple in-place discrete fourier transform ( DFT )

Posted by Adam on Stack Overflow See other posts from Stack Overflow or by Adam
Published on 2010-04-28T02:06:08Z Indexed on 2010/04/28 2:13 UTC
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I'm writing a very simple in-place DFT. I am using the formula shown here: http://en.wikipedia.org/wiki/Discrete_Fourier_transform#Definition along with Euler's formula to avoid having to use a complex number class just for this. So far I have this:

private void fft(double[] data)
        {
            double[] real = new double[256];
            double[] imag = new double[256];
            double pi_div_128 = -1 * Math.PI / 128;
            for (int k = 0; k < 256; k++)
            {
                for (int n = 0; n < 256; n++)
                {
                    real[k] += data[k] * Math.Cos(pi_div_128 * k * n);
                    imag[k] += data[k] * Math.Sin(pi_div_128 * k * n);
                }
                data[k] = Math.Sqrt(real[k] * real[k] + imag[k] * imag[k]);
            }
        }

But the Math.Cos and Math.Sin terms eventually go both positive and negative, so as I'm adding those terms multiplied with data[k], they cancel out and I just get some obscenely small value. I see how it is happening, but I can't make sense of how my code is perhaps mis-representing the mathematics. Any help is appreciated. FYI, I do have to write my own, I realize I can get off-the shelf FFT's.

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