| 基于DSP的小波阈值去噪算法的实现 |
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| 引用本文： | 马龙龙,孙运强,姚爱琴.基于DSP的小波阈值去噪算法的实现[J].山西电子技术,2011(1):47-48. |
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| 作者姓名： | 马龙龙 孙运强 姚爱琴 |
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| 作者单位： | 中北大学信息与通信工程学院; |
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| 摘 要： | 小波去噪是信号处理领域中的热点与前沿课题。阐述了小波去噪的基本原理和方法,利用TMS320F2812 DSP高速的运算能力、强大的实时处理能力等特点,在DSP上实现小波阈值去噪算法,为小波去噪提供了实时处理平台。采用软阈值函数和tein无偏风险阈值2t（rigrure规则）对噪声污染信号进行小波阈值去噪处理,实验发现,该法可以很好的去除噪声,满足信号去噪的光滑性和相似性准则。
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| 关 键 词： | 小波变换 阈值函数 信号去噪 Mallat算法 DSP |
Implementation of Wavelet Thresholding Denoising Algorithm Based on Digital Signal Processors |
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| Ma Long-long,Sun Yun-qiang,Yao Ai-qing.Implementation of Wavelet Thresholding Denoising Algorithm Based on Digital Signal Processors[J].Shanxi Electronic Technology,2011(1):47-48. |
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| Authors: | Ma Long-long Sun Yun-qiang Yao Ai-qing |
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| Affiliation: | Ma Long-long,Sun Yun-qiang,Yao Ai-qing(School of Information and Communication Engineering,North University of China,Taiyuan Shanxi 030051,China) |
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| Abstract: | Wavelet denoising is a popular and front topic in the field of signal processing.The basic principles of wavelet denoising and methods are described in this article.By using the capability of high-speed computing and the powerful real-time processing of TMS320F2812 DSP as the real-time processing platform for wavelet denoising,wavelet thresholding denoising algorithm is implemented based on DSP.The result shows that this algorithm has a fine effect on processing signal with noise by using soft thresholding ... |
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| Keywords: | wavelet transformation thresholding function signal denoising Mallat algorithm digital signal processor |
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