摘要
脉冲星信号是典型的信噪比极低的一种非平稳信号,国内目前对于脉冲星去噪的方法主要是采用对脉冲星信号周期的叠加来获得较为明显的脉冲信息。本文分析了被噪声污染后的脉冲星信号特性,根据脉冲星信号的特点采用小波变换方法对其噪声进行处理,研究了基小波的选取和分解尺度对降噪效果的影响。结果表明,小波变换降噪算法能够有效的降低脉冲星信号中的噪声,提高信噪比,同时可以保留高频有用信息。
Pulsar signal is a typical nonstationary signals with low SNR, the main pulsar denoising methods is using the superposition of the pulsar signal period to get obvious pulse information. This paper analyzes the characteristic of noising pulsar, removes noise with wavelet transformation, discusses the result of denoising with different basic wavelet and different wavelet decomposition scale. The results shows that the wavelet transformation denoising algorithm can eliminate the noise of pulsar signal, advance the SNR and reserve the useful information.
出处
《微计算机信息》
2011年第12期158-160,共3页
Control & Automation
关键词
小波变换
降噪
脉冲星
基小波
分解尺度
信噪比
wavelet transformation
denoising
pulsar
basic wavelet
decomposition scale
SNR
