Wavelet Packet Decomposition
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wave (Wavelet): Wavelet packet decomposition is a signal processing technique that decomposes signals into their frequency components through wavelet packet analysis and estimates the energy distribution across different frequency bands. This method enables deeper understanding and analysis of signal frequency characteristics while providing more precise energy estimation. Implementation typically involves using functions like wpdec() for decomposition and wprcoef() for reconstruction in MATLAB, with energy calculation performed by squaring the wavelet packet coefficients at each node of the decomposition tree. The algorithm recursively applies high-pass and low-pass filters to both approximation and detail coefficients, creating a complete binary tree structure that offers finer frequency resolution than standard wavelet decomposition.
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