The Application of Wavelet Variance and Wavelet Entropy in Signal Feature Extraction
Hua Ping Guo · Journal of Xi'an University of Technology · 2007
The wavelet variance under the single scale is discussed,and in combining the information entropy in information theory with physical sense,the wavelet entropy under the multi-scale is introduced in this paper.With two kinds of simulation signals of frequency mutation and amplitude mutation as the objective,the characteristics of wavelet variance and wavelet entropy in reflecting the statistic features of random signals are analyzed.Finally taking the signals from the drilling as an example,two kinds of methods are used to analyze and extract the signal pulses features under the strong noise environs.Accordingly,the simulation and actual examples indicate that being dependent on the wavelet variance relative to the scale selection,wavelet entropy can extract the signal features wholly and effectively with the information of integrated scale.