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小波基自适应去卷滤波器及其仿真

Wavelet-based adaptive deconvolution filter and its simulation
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摘要 为了提高处理信号的精度 ,集最小均方滤波、Kalman滤波和小波变换于一体 ,提出了小波基自适应去卷滤波器 .采用文中方案做了若干仿真实验 ,结果表明 ,该滤波器能很好地跟踪反射系数信号 ,并能滤去高频噪声 ,平均相对误差在 1%以内 。 In order to improve the precision of signal processing, a wavelet\|based adaptive deconvolution filter is presented by hybridizing the least mean square filter, the Kalman filter and the wavelet transform. A lot of simulated experiments have been done by using the scheme. The results show that the filter can track the reflection coefficient signals and eliminate the high frequency noises, and the average relative errors is within 1%. This indicates that the scheme is very efficient.
出处 《大庆石油学院学报》 CAS 北大核心 2002年第4期49-51,共3页 Journal of Daqing Petroleum Institute
基金 黑龙江省自然科学基金资助项目 (A0 1-14 )
关键词 仿真 小波变换 最小均方滤波器 KALMAN滤波器 去卷 滤波器 wavelet transform least mean square filter Kalman filter deconvolution filter
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参考文献8

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