It takes a 8 khz sampling in real-time, and performs a FFT at 100 hz with a sliding hamming window to give clean results. All of this is in a GUI which allows you to see the spectrometer and energymeter. Some of the background audio processing code is from http://www.speech-recognition.de by Bernd Plannerer. Enjoy!
Zachary Moratto (2022). Sliding Spectrometer (https://www.mathworks.com/matlabcentral/fileexchange/16032-sliding-spectrometer), MATLAB Central File Exchange. Retrieved .
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