Wavelet Packet Decomposition

Wavelet Packet Decomposition is a mathematical technique used to analyze complex signals by breaking them down into smaller, more manageable parts. Imagine a signal as a musical chord; wavelet packet decomposition splits it into various frequency components at different levels, allowing us to examine the details and patterns within the data. This process helps in tasks like signal compression, noise reduction, and feature extraction by providing a detailed and flexible representation of the original signal’s information across scales. It’s akin to zooming in and out to see both the big picture and fine details simultaneously.