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小波IP软核实现及在信号降噪中的应用

Implementation of Wavelet Transform in IP Soft Core and Its Application in Signal Denoising
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摘要 小波分析是信号信息获取与处理领域的新技术,它在处理非平稳信号方面具有傅里叶变换无法比拟的优越性。本文针对实际工程中小波变换计算复杂度高,仅靠软件实现是无法满足实时信号处理的需求的问题,基于小波变换多分辨率分析原理,实现了离散小波变换IP软核设计,并结合设计的小波系数阈值处理模块,探讨了该IP软核非平稳信号降噪处理中的应用,证明了设计的可行性。 Since wavelet analysis is a new technology in field of signal information acquisition and processing, it has superiority in non - stationary signal processing compared with Fourier transform. Aiming at issue of high complexity of wavelet transform calculation, and the requirement of real - time signal processing cannot be met by software implementation, discrete wavelet transform IP soft core design is implemented based on principle of wavelet transform multi resolution analysis. And combining with the designed wavelet coefficient threshold processing mod- ule, the application of IP soft core in non - stationary signal denoising processing is probed, which proves feasibility of the design.
作者 胡先伟 李明
出处 《火控雷达技术》 2013年第2期27-32,共6页 Fire Control Radar Technology
基金 航空科学基金(20110181006)
关键词 小波变换 IP软核 阈值处理 信号降噪 wavelet transform IP soft core threshold processing signal denoising.
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