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When multiple signals are superimposed, cepstrum analysis can detect their fundamental frequencies. While primarily used in homomorphic filtering for signal deconvolution, cepstrum analysis - particularly for voice signals - effectively separates spectral envelopes from fundamental frequency spectra. Implementations typically involve Fourier transforms, logarithmic operations, and inverse transforms to extract vocal tract characteristics and excitation components.

MATLAB 376 views Tagged