Trinh @ Bath

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vpde_lecture35 [2020/04/23 08:33]
trinh
vpde_lecture35 [2020/04/27 17:40] (current)
trinh
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 ====== Lecture 35: Maths of music II ====== ====== Lecture 35: Maths of music II ======
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 I don't want to dwell on the details of how the fft command works but it is enough to talk about analogies. Suppose we give you an $N$ vector $f_n$ with elements $n = 0, 1, 2, \ldots N-1$ that represents the signal we want to process. I don't want to dwell on the details of how the fft command works but it is enough to talk about analogies. Suppose we give you an $N$ vector $f_n$ with elements $n = 0, 1, 2, \ldots N-1$ that represents the signal we want to process.
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 % that differ very slightly in frequency, it gives a beating pattern % that differ very slightly in frequency, it gives a beating pattern
 plot(t, f) plot(t, f)
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