You can use the command sound(x,fs) to listen to the entire audio file. The time scale in the data is compressed by a factor of 10 to raise the pitch and make the call more clearly audible. Because blue whale calls are low-frequency sounds, they are barely audible to humans. Load and format a subset of the data in, which contains a Pacific blue whale vocalization. Use a time vector sampled in increments of 1 50 of a second over a period of 10 seconds. Consider a sinusoidal signal x that is a function of time t with frequency components of 15 Hz and 20 Hz. This data can be found in a library maintained by the Cornell University Bioacoustics Research Program. The fft function in MATLAB uses a fast Fourier transform algorithm to compute the Fourier transform of data. Many specialized implementations of the fast Fourier transform algorithm are even more efficient when n is a power of 2.Ĭonsider audio data collected from underwater microphones off the coast of California. This computational efficiency is a big advantage when processing data that has millions of data points. The fast Fourier transform algorithm requires only on the order of n log n operations to compute. Using the Fourier transform formula directly to compute each of the n elements of y requires on the order of n 2 floating-point operations.
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