摘要
针对通信领域中语音信号处理的方法,比较分析了小波变换和Hilbert-Huang变换在信号处理方面的原理;给出了两者的算法描述和关键处理步骤、小波变换的分解及阀值计算与Hilbert-Huang变换的EMD分解与分析;同时针对两种方法在语音消噪方面的应用,给出了具体的实验结果与结论.
In the light of the voice signal processing methods,this paper makes a comparative study of the principle of the wavelet transformation and Hilbert-Huang transformation in signal processing.And it presents their description and key processing steps,the decomposition and threshold calculation of the wavelet transformation and EMD decomposition and analysis of Hilbert-Huang Transformation.Furthermore,based on two methods for noise elimination in the application of voice,it gives specific experimental results and conclusions.
出处
《石家庄学院学报》
2011年第3期60-65,共6页
Journal of Shijiazhuang University
基金
安徽高校省级自然科学研究重点项目(KJ2010A325)
