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.
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' (2024). Fast Fourier Transform & LPC (https://www.mathworks.com/matlabcentral/fileexchange/39974-fast-fourier-transform-lpc), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2010a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Signal Modeling >
Find more on Signal Modeling in Help Center and MATLAB Answers
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |