小波变换matlab算法代码
时间: 2023-07-28 22:09:23 浏览: 61
Sure! Here's an example of a MATLAB code for performing the Discrete Wavelet Transform (DWT) using the wavelet toolbox:
```matlab
% Load the signal
load('signal.mat'); % Replace 'signal.mat' with the path to your signal
% Define wavelet and level of decomposition
wavelet = 'db4'; % Change the wavelet as per your requirement
level = 5; % Change the level of decomposition as per your requirement
% Perform wavelet decomposition
[c, l] = wavedec(signal, level, wavelet);
% Plot the original and decomposed signals
figure;
subplot(level+1,1,1);
plot(signal);
title('Original Signal');
xlabel('Sample');
ylabel('Amplitude');
for i=1:level
subplot(level+1,1,i+1);
plot(appcoef(c, l, wavelet, i));
title(['Approximation Coefficients at Level ', num2str(i)]);
xlabel('Sample');
ylabel('Amplitude');
end
```
This code assumes that you have a signal stored in a MATLAB MAT file named 'signal.mat'. You can replace this file with your actual signal data. The code uses the 'db4' wavelet and performs 5 levels of decomposition. You can modify these parameters according to your needs. The code then plots the original signal and the approximation coefficients at each decomposition level.
Please note that this is just a basic example, and there are many other variations and options available in MATLAB for performing wavelet analysis.