计算机工程与应用2012，Vol.48Issue(36)：137-141,5.DOI:10.3778/j.issn.1002-8331.1205-0321
基于奇异谱分析的最优分解层数确定算法
Determination algorithm of optimal decomposition level based on singular spectrum analysis
摘要
Abstract
This paper, applying the singular spectral analysis theory to the wavelet threshold denoising algorithm, realizes an adaptive determination algorithm for optimal level of decomposition. Comparing distribution of the singular spectral with noise signals under different SNR environments, it determines the optimal decomposition level based on the singular spectrum characteristics of wavelet coefficients. Being tested, the algorithm can adaptively determine the optimal decomposition level, according to noise interference of noise signals, effectively increasing voice enhancement effect and avoiding unnecessary waste of hardware resources.关键词
最优分解层数/语音增强/奇异谱分析/阈值降噪Key words
optimal decomposition level/ speech enhancement/ singular spectral analysis/ threshold denoising分类
信息技术与安全科学引用本文复制引用
伍龙,邢丽坤,陈帅..基于奇异谱分析的最优分解层数确定算法[J].计算机工程与应用,2012,48(36):137-141,5.基金项目
淮南市科技局项目(No.2012A01003) （No.2012A01003）
淮南师范学院科研项目(No.2012LK10). （No.2012LK10）
