Cepstrum Aliasing

Version 1.4.0.0 (2,82 MB) von Speech Processing
Estimates the level of aliasing when finite size FFTs for the computation are used
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Aktualisiert 31. Mai 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.

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2015a
Kompatibel mit allen Versionen
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Version Veröffentlicht Versionshinweise
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