spectral entropy frequency bands in matlab pentropy in matlab

To calculate spectral entropy of frequency bands in MATLAB, you can use the pentropy function from the Signal Processing Toolbox. This function computes the power spectral entropy of a signal within defined frequency bands.

Here is an example code snippet on how to calculate spectral entropy of frequency bands using pentropy in MATLAB:

main.m
% Define your signal and sampling frequency
fs = 1000; % Sampling frequency
t = 0:1/fs:1; % Time vector
f1 = 5; % Frequency of the first component
f2 = 20; % Frequency of the second component
signal = sin(2*pi*f1*t) + 0.5*sin(2*pi*f2*t); % Signal with two frequency components

% Calculate the spectral entropy within specific frequency bands
freqBands = [0 10; 10 50]; % Define frequency bands [lower bound, upper bound]
pent = pentropy(signal, fs, freqBands);
disp(pent);
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In this code snippet, we first define a simple signal composed of two sine waves at frequencies 5 Hz and 20 Hz. We then define the frequency bands of interest and calculate the spectral entropy within these bands using the pentropy function. The result is displayed using disp.

Remember to replace the signal generation with your own signal data and adjust the frequency bands according to your requirements.