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一种改进的小波系数相关滤波算法 被引量:5

An improved denoising algorithm using correlation of wavelet coefficients
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摘要 提出一种改进的小波系数相关滤波算法。该算法在小波系数相关滤波的基础上,对去噪后的小波系数进行中值平滑,再重构新的小波系数,获得去噪后的信号。利用新的小波系数重构信号,有效降低了信号中的噪声,减少了小波相关滤波算法存在的"毛刺"。仿真试验结果表明,当信噪比在5 dB-15 dB范围内变化时,该算法在均方根误差(RMSE)和平滑度2个指标上均优于原算法,具有更好的降噪效果。 An improved denoising algorithm is presented based on the filtering algorithm of correlation of wavelet coefficients.The denoised wavelet coefficients are smoothed by median filtering,and then the denoised signals are reconstructed by the new wavelet coefficients.Simulation results show that the improved algorithm effectively reduce the glitch and the noise.At the noise ratio of 5 dB 15 dB,the indexes of Root Mean Square Error(RMSE) and smoothness of the improved algorithm are better than that of the original algorithm.
出处 《信息与电子工程》 2012年第5期604-607,共4页 information and electronic engineering
基金 天津市科技创新专项资金资助项目(10FDZDGX00400)
关键词 小波变换 小波系数相关 中值滤波 去噪 wavelet transform correlation of wavelet coefficients median filtering denoising
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