Fast Fourier Transform & LPC

Version 1.0.0.0 (1.53 KB) by shaima'
A comparison between the Fast fourier tansform and the LPC for a speech signal.
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Updated 25 Jan 2013

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First of all, we divide the speech signal into a number of frames. after choosing one of the speech signal frames, we calculate the autocorrelation coeffients; in order to calculate the final predictor and the premphesis all-poles filter. Finally determine the LPC filter's parameters.

Cite As

shaima' (2026). Fast Fourier Transform & LPC (https://www.mathworks.com/matlabcentral/fileexchange/39974-fast-fourier-transform-lpc), MATLAB Central File Exchange. Retrieved .

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Created with R2010a
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1.0.0.0