Wavelet Packet Decomposition for Signal Analysis
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First, we perform wavelet packet decomposition on the signal, which allows us to obtain an energy distribution map to better understand the signal's characteristics. This process typically involves using functions like wpdec() in MATLAB for decomposition and wprcoef() for reconstructing coefficient nodes. The decomposition tree structure provides detailed frequency band information that helps identify dominant energy components. Based on the decomposition results, we can implement signal processing techniques such as threshold denoising using wthcoef() or feature extraction through energy calculations at different nodes. The energy distribution analysis enables targeted signal processing to achieve our specific objectives, whether it's noise reduction, feature enhancement, or compression.
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