Windows

This exercise utilizes four programs to train a Bayesian classifier and classify frames of signals.
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Actualizado 11 sep 2015

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This MATLAB exercise computes and compares and contrasts the time and frequency responses of 6 L-point commonly used windows, namely the rectangular window, the triangular window, the Hanning window, the Hamming window, a modified Hamming window and the Blackman window. Pairs of windows can be compared as to time and frequency responses, and even all 6 windows can be displayed on the three graphics panels, if so desired. The file '3.1 Windows Comparisons.pdf' provides a User's Guide for this exercise.

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Lawrence Rabiner (2024). Windows (https://www.mathworks.com/matlabcentral/fileexchange/52162-windows), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2015a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
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Más información sobre Pattern Recognition and Classification en Help Center y MATLAB Answers.

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Versión Publicado Notas de la versión
1.0.0.0

added name of User's Guide for this exercise
works on both R2015a and windows 10