基于小波熵的鼾音信号去噪处理  

Denoising processing of snoring signal based on wavelet entropy

作　　者：张引红[1] 李全禄[1] 

机构地区：[1]陕西师范大学物理学与信息技术学院,西安710062

出　　处：《计算机工程与应用》2011年第30期19-22,共4页Computer Engineering and Applications

基　　金：国家自然科学基金No.10374064;中央高校基本科研业务费专项资金(No.2010ZYGX020)~~

摘　　要：提出一种新的基于小波熵的弱鼾音信号去噪方法。结合鼾音信号特点及小波熵去噪理论,将严重的干扰和噪声去掉,并进行鼾音的检测及甄别,实现有效鼾音信号的提取,利用临床的实测鼾音信号数据进行模拟仿真,针对不同噪声类型和不同信噪比情况进行分析。结果表明,该方法简单有效,尤其对于高频噪声效果更优,且适于实际应用。In this paper,a new snore denoising method based on wavelet entropy is presented.According to snore signal characteristic and the theory of wavelet entropy,the serious disturbance and noise are removed and the snore signals are detected and extracted.Then clinical snore signal data is used for simulation,and different noise types with different SNR are analyzed.The re-sults indicate that this method is simple,effective,especially for removing highfrequency noise and it is suitable for application.

关 键 词：鼾音 小波熵 时频分布 去噪处理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]