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小波阈值法降噪分析与改进 被引量:6

Improvement on threshold de-noising based on wavelet analysis
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摘要 为了有效降低信号中的噪声,提高信噪比,本文研究了小波阈值法降噪的原理和小波系数估计方法,针对估计小波系数的硬阈值法不连续和软阈值法有偏差的缺点,提出通过引入α因子对小波系数的估计方法进行改进,给出了改进方案估计模型器的模型。数值实验结果表明,α因子取值适当,改进方案能够在一定程度上克服软阈值和硬阈值方法中固有的缺点,取得了较好的降噪效果。 In order to reduce the noise in signal and to increase Signal to Noise ratio,the paper introduces the principle of threshold de-noising,the soft-thresholding and hard-thresholding of estimating the wavelet coefficients.An improved de-noising method and the model of improved estimating machine are put forward by use of aiming to the inherent shortcomings of above two traditional methods.The simulation results prove that the proposed method shows good de-noising quality and can overcome inherent shortcomings of above two traditional methods to a degree.
作者 蔡敏
出处 《信息与电子工程》 2011年第2期211-214,共4页 information and electronic engineering
基金 国家自然科学基金资助项目(60802030/F010201)
关键词 小波 阈值 降噪 估计小波系数 wavelet threshold de-noising estimated wavelet coefficients
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