Cepstrum Aliasing

Estimates the level of aliasing when finite size FFTs for the computation are used


Updated Sun, 31 May 2015 23:29:08 +0000

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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.

Cite As

Speech Processing (2023). Cepstrum Aliasing (https://www.mathworks.com/matlabcentral/fileexchange/45312-cepstrum-aliasing), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
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Version Published Release Notes

Updated to work with post-R2014b graphics

code updates; Read_Me.txt setup file; pathnew_matlab_central example