@Firebird
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would you mind if I would mention you in the credit list of my app ?
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Please do. Unfortunately I don't know of any way to get sound samples directly into memory.
@Klaus
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As your samples are real, you dont even need to add the imaginary samples with 0 values.
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I'm not too hot on maths. I understand interpreting the real and imaginary values obtained using the complex FFT with only real input values and the imaginary input values all 0. I don't understand what the real and imaginary values obtained represent when the imaginary input values are also sampled values. I've Googled but not found an answer (that I understand!). Is there an easy explanation?
Also I modified CalcSin with "For i=0 To NM1 Step 2" to only produce real values assuming that the real values of data() are even indeces and imaginary are odd. The expected frequencies seem to appear in the imaginary data and phase in the real data. Would you expect it to be this way round?
EDIT:- I've got the answer to my second question. From (years ago!) brief exposure to FFTs I was under the misapprehension that the output was freqency amplitudes and phase. In fact it is Sine (imaginary) and Cosine (real) frequency amplitudes. I still don't understand the first question!