摘要
提出了一种基于最大信息熵的小波阈值去噪改进算法,通过与传统的软、硬阈值小波去噪算法对比分析可知,改进算法可将小波系数矢量与语音信号之间的偏差降到最低,并通过仿真实验,验证了该改进算法可实现高质量的语音去噪效果.
An improved denoising algorithm using wavelet threshold based on a maximum information entropy is proposed,and it can decrease the deviation between the wavelet coefficients vector and the voice signal to the minimum comparing with the traditional algorithms using soft and hard threshold functions.Through simulations,it demonstrates the improved algorithm can realize high quality effect for voice denoising.
出处
《兰州交通大学学报》
CAS
2011年第6期55-58,92,共5页
Journal of Lanzhou Jiaotong University
关键词
最大信息熵
改进算法
小波阈值
语音去噪
maximum information entropy
improved algorithm
wavelet threshold
voice denoising
作者简介
王春丽（1981-），女，内蒙包头人，讲师，硕士．
