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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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