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Cepstrum Aliasing

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



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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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Updated to work with post-R2014b graphics


code updates; Read_Me.txt setup file; pathnew_matlab_central example

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MATLAB 8.5 (R2015a)

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