计算机工程与应用Issue(14)：211-213,225,4.DOI:10.3778/j.issn.1002-8331.1311-0146
带噪语音信号小波去噪算法研究
Research on wavelet-based speech signal with noise denoising algorithms
摘要
Abstract
Denoising is an essential problem in signal processing. Filter method as the traditional denoising method, includes linear and nonlinear filtering. Due to frequency overlap between noise and signal, the traditional method to obtain good denoising effect must sacrifice some signal. Existing wavelet modulus maxima denoising method has better denoising effect, however the computation loads are high. Wavelet threshold denoising method is simpler, but the wavelet coefficient after wavelet reconstruction has biased estimation with the wavelet coefficient of noise. The paper analyzes the threshold denois-ing method, giving a method to improve, simulation results show that it has better denoising effect.关键词
小波去噪/阈值量化/阈值函数Key words
wavelet denoising/threshold quantification/threshold function分类
信息技术与安全科学引用本文复制引用
杨岳飞,刘辉,谭检平..带噪语音信号小波去噪算法研究[J].计算机工程与应用,2015,(14):211-213,225,4.基金项目
湖南省科学技术厅资助项目（No.2012GK3121）。 （）
