MATLAB Wavelet Analysis Source Code Simulation Program

Below is a simulation program example of wavelet analysis source code implemented in MATLAB.

First, we import required MATLAB libraries and functions such as the Wavelet Toolbox for wt and waverec functions. Then, we define the input signal (e.g., synthetic or real-world data) and perform necessary preprocessing steps including noise removal using denoising filters and signal normalization. Next, we select appropriate wavelet basis functions (e.g., Daubechies, Haar) and perform wavelet decomposition using discrete wavelet transform (DWT) algorithms. After obtaining wavelet coefficients, we apply thresholding-based filtering for feature extraction, followed by signal reconstruction using inverse wavelet transform. Finally, we visualize the results through multi-scale plots and analyze frequency components using scalograms and coefficient energy distributions.

This program example helps understand wavelet analysis implementation and demonstrates MATLAB simulation techniques for time-frequency analysis applications. Hope this proves beneficial!