Signal Processing in MATLAB

 Signal Processing in MATLAB

MATLAB provides a range of tools for signal processing, including signal filtering, Fourier analysis, and wavelet analysis. Here's an example of how to filter a noisy signal using a low-pass filter:

load('ecg.mat');             % load the ECG signal

fs = 360;                    % set the sampling frequency

t = (0:length(ecg)-1)/fs;    % create a time vector

subplot(2,1,1);

plot(t,ecg);                 % plot the original signal

xlabel('Time (s)'); ylabel('ECG (mV)');

title('Original Signal');

subplot(2,1,2);

fc = 40;                     % set the cutoff frequency

[b,a] = butter(2,fc/(fs/2)); % design a low-pass Butterworth filter

ecg_filt = filter(b,a,ecg);  % apply the filter to the signal

plot(t,ecg_filt);            % plot the filtered signal

xlabel('Time (s)'); ylabel('ECG (mV)');

title('Filtered Signal');