计算机工程与应用2018，Vol.54Issue(5)：57-60,143,5.DOI:10.3778/j.issn.1002-8331.1609-0447
同步挤压小波变换对随机噪声抑制的研究
Research on random noise suppression by synchrosqueezing wavelet transform
摘要
Abstract
Aiming at lowering the signal-to-noise ratio of a noisy signal,a synchrosqueezing wavelet transform-based denoising method is proposed.The transformation is a new method of wavelet transform,which can convert the time-domain signal into high-resolution time-frequency spectrum.Then,combining the idea of spectrum rearrangement to obtain the value of the synchrosqueezing transform by squeezing the interval value of any center frequency. The study finds that the synchrosqueezing wavelet transform can be used to compress the random noise into the point like noise or the particle noise,and the aggregation distribution.Based on the distribution of noise characteristics,the median filter can be used to achieve the purpose of suppressing noise,but through the traditional wavelet transform,the random noise is distributed in the size of the scale and relatively decentralized,with median filter can not achieve a good filtering effect. The comparison results show that the method has the ability of restraining noise.关键词
信噪比/同步挤压小波变换/随机噪声/中值滤波/小波变换Key words
signal to noise ratio/synchrosqueezing wavelet transform/random noise/median filter/wavelet transform分类
信息技术与安全科学引用本文复制引用
张志禹,李向月,李向阳..同步挤压小波变换对随机噪声抑制的研究[J].计算机工程与应用,2018,54(5):57-60,143,5.基金项目
国家自然科学基金重大项目课题四(No.41390454). （No.41390454）
