Hi,

I'm writing a program where I'm trying to decode DTMF tones. I already completed the wave file decoder and I know I'm supposed to use an FFT to transform the samples from time domain to frequency domain but I'm stuck on determining which of the DTMF frequencies are present.

Consider the following, the input is the sound wave samples as an array of floats between -1 and +1.

```D
void decode_sound(float[] samples)
{
        import std.numeric;
        import std.math;
        import std.complex;
        import std.algorithm;

        size_t fft_size = 4096;
        
        auto f = new Fft(fft_size);

        foreach(ch; samples.chunks(fft_size))
        {
                auto res = f.fft(ch);
                // res is an array of 4096 complex numbers
        }
}
```

I can't figure out how the 4096 results of the FFT relate to the frequencies in the input.

I tried taking the magnitude of each element, I tried taking just the real or imaginary parts. I plotted them but the graph doesn't look how I'm expecting.

What do the 4096 resulting complex numbers represent?
How should I use the result to check whether the 1209Hz, 1336Hz, 1477Hz, or 1633Hz tones are present in that part of the sound?

Thanks,
Matthew

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