河南科学
河南科學
하남과학
HENAN SCIENCE
2013年
11期
1903-1906
,共4页
多小波%信号降噪%小波阈值%自适应阈值%信号特征提取
多小波%信號降譟%小波閾值%自適應閾值%信號特徵提取
다소파%신호강조%소파역치%자괄응역치%신호특정제취
multiwavelets%signal denoising%wavelet threshold%adaptive threshold%extracting signal features
为了能更好恢复强噪声中的微弱信号，提出一种多小波的自适应阈值降噪方法。该法首先将多小波引入降噪，克服传统单小波的不足，可以匹配信号中不同的特征信息；其次，在传统软、硬阈值降噪方法的基础上，提出了一种自适应阈值算法，克服每一级尺度上都采用同一阈值的缺点。将本方法和多小波软阈值法、D4小波自适应阈值法进行降噪对比实验，显示该方法不仅有效消除了信号噪声，尤其重要的是更好地保留了原有用信号的信息特征。
為瞭能更好恢複彊譟聲中的微弱信號，提齣一種多小波的自適應閾值降譟方法。該法首先將多小波引入降譟，剋服傳統單小波的不足，可以匹配信號中不同的特徵信息；其次，在傳統軟、硬閾值降譟方法的基礎上，提齣瞭一種自適應閾值算法，剋服每一級呎度上都採用同一閾值的缺點。將本方法和多小波軟閾值法、D4小波自適應閾值法進行降譟對比實驗，顯示該方法不僅有效消除瞭信號譟聲，尤其重要的是更好地保留瞭原有用信號的信息特徵。
위료능경호회복강조성중적미약신호，제출일충다소파적자괄응역치강조방법。해법수선장다소파인입강조，극복전통단소파적불족，가이필배신호중불동적특정신식；기차，재전통연、경역치강조방법적기출상，제출료일충자괄응역치산법，극복매일급척도상도채용동일역치적결점。장본방법화다소파연역치법、D4소파자괄응역치법진행강조대비실험，현시해방법불부유효소제료신호조성，우기중요적시경호지보류료원유용신호적신식특정。
In order to extract week singnals from strong noise,a new method of denoising based on multiwavelet and adaptive threshold is proposed. Firstly,the multiwavelets are introduced to overcome the shortcoming of the single wavelet,and match different characteristics of signals. Moreover,an improved method composed of adaptive threshold is presented. The comparison experiments were done with the method of multiwavelets soft threshold, D4 wavelet adaptive threshold. The results indicate that this method can not only improve the signal-to-noise ratio of the rebuilt signal,but also extract the feature submerged in a heavy noise.
