Wavelet Packet Analysis for Decomposition Extraction in Vibration Signals

Resource Overview

Wavelet Packet Analysis extracts vibration signal decompositions, reconstructs feature frequencies from coefficients, and performs energy spectrum analysis calculations

Detailed Documentation

Wavelet Packet Analysis is a signal processing technique that decomposes vibration signals and reconstructs decomposition coefficients to extract characteristic frequencies. This method involves implementing algorithms like wavelet packet decomposition trees and reconstruction filters to isolate specific frequency components. Beyond frequency extraction, Wavelet Packet Analysis enables energy spectrum analysis to calculate signal energy distribution patterns. By applying functions such as wpdec for decomposition and wprcoef for reconstruction, these analyses and computations provide deeper insights into vibration signal properties and characteristics. Consequently, Wavelet Packet Analysis holds extensive application value in the signal processing domain for feature extraction and energy distribution assessment.