Engineering science Seismic Wavelet Signal Noise Reduction Algorithm of Blind Source Separation Optimization

In view of the existing seismic signal analysis model there are some problems is Analysis of the result is bad, the accuracy is not high. This paper puts forward an algorithm based on discrete wavelet and generalized the ICA model of seismic signal analysis. First for continuous Wavelet transform exists redundant of problem, on standard small wave transform algorithm of transform domain in the variable for discrete of, and building based on discrete optimization Wavelet algorithm of earthquake signal drop noise model, then in used Discrete Wavelet transform algorithm on signal for drop noise Hou, used ICA algorithm on its for blind separation optimization, and introduced general Gaussian distribution model, on ICA algorithm for Diego generation operation of optimization. Simulation experiments show that presented Discrete Wavelet transform algorithm relative to the standard Wavelet has better noise reduction ability, and is based on discrete wavelets and generalized seismic signal analysis of ICA algorithm model shows good results.