摘要
应用现代时间序列分析方法 ,提出了多通道 Wiener去卷滤波器设计的一种新的时域方法 .它的特点是基于 ARMA新息模型可简单地得到渐近稳定的 Wiener去卷滤波器 ,避免了求解 Diophantine方程 ,减小了计算负担 ,且可统一处理去卷滤波、平滑和预报问题 .仿真例子说明了其有效性 .
Using the modern time series analysis method, a new time-domain approach to multichannel Wiener deconvolution filters design is presented. Its features are that based on the autoregressive moving average (ARMA) innovation model, asymptotically stable Wiener deconvolution filters can simply be obtained, the solution of Diophantine equations is avoided so that the computational burden may be reduced, and it can handle the deconvolution filtering, smoothing and prediction problems in a unified framework. A simulation example shows its effectiveness.
出处
《自动化学报》
EI
CSCD
北大核心
2001年第2期241-246,共6页
Acta Automatica Sinica
基金
国家自然科学基金! ( 69774 0 1 9)资助项目
关键词
反卷积
Wiener去卷滤波器
时间序列分析
时域方法
设计
Asymptotic stability
Computer simulation
Convolution
Mathematical models
Time domain analysis
Time series analysis
Wave filters
