基于最大能量熵的小波阈值去噪法研究

Research on Wavelet Threshold Denoising Algorithm Based on Maximum Energy Entropy

分析了现有的软阈值、硬阈值以及软硬折衷阈值三种小波阈值去噪方法的优缺点,在此基础上,提出了一种基于最大能量熵的小波阈值去噪方法,根据最大能量熵的理论确定了改进型阈值函数中的加权因子。用三种阈值函数分别对Blocks、Bumps、Droppler信号进行滤波处理中,结果表明,基于最大能量熵的小波阈值去噪方法各项性能指标均优于另外两种方法,具有良好的去噪效果。

Wavelet denoising of the soft thresholds, hard thresholds and soft and hard tradeoff thresholdsare andlyzed, and a wavelet threshold denoising method based on maximum energy entropy is proposed. Based on the maximum energy entropy The weighting factor in the improved threshold function is determined. According to the theory of maximum energy entropy, the weighting factor in the improved threshold function is determined. Blocks, Bumps and Droppler signals are filtered by three threshold functions. The results show that the performance of using wavelet threshold denoising method based on maximum energy entropy is superior to the other two methods, and has good denoising effect.