基于最优小波包基的信号去噪方法研究

Signal Denoising Algorithm Based on Best Wavelet Packet

改进了基于最优小波包基的信号去噪算法,该算法以小波包分析为基础,根据最小代价原理搜索信号分解的最优基,然后对高频和低频系数采用不同的阈值算法进行量化,用量化后的系数重构得到去噪后的信号.

In this paper, a new signal denoising algorithm based on best wavelet packet is mended, Based on best wavelet packet analysis, the algorithm searches for the best wavelet packet basis of Signal decomposition according to the principle of minimum cost, then adopts different methods to deal with coefficient for high frequency and lower frequency coefficients. Finally, the coefficients are reconstructed to get the denoised signals.