Cepstrum Aliasing

Versione 1.4.0.0 (2,82 MB) da Speech Processing
Estimates the level of aliasing when finite size FFTs for the computation are used
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Aggiornato 31 mag 2015

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Speech processing designates a team consisting of Prof. Lawrence Rabiner (Rutgers University and University of California, Santa Barbara), Prof. Ronald Schafer (Stanford University), Kirty Vedula and Siva Yedithi (Rutgers University). This exercise is one of a set of speech processing exercises that are intended to supplement the teaching material in the textbook “Theory and Applications of Digital Speech Processing” by L R Rabiner and R W Schafer.
This MATLAB exercise estimates the level of aliasing that occurs when using finite size FFTs for the computation of the real cepstrum for an input signal consisting of a frame of voiced or unvoiced speech.

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Speech Processing (2024). Cepstrum Aliasing (https://www.mathworks.com/matlabcentral/fileexchange/45312-cepstrum-aliasing), MATLAB Central File Exchange. Recuperato .

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Creato con R2015a
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Versione Pubblicato Note della release
1.4.0.0

Updated to work with post-R2014b graphics
1.1.0.0

code updates; Read_Me.txt setup file; pathnew_matlab_central example
1.0.0.0