%0 Journal Article
%T MULTICHANNEL OPTIMAL DECONVOLUTION FILTERS WITHOUT DIOPHANTINE EQUATIONS<br>不带Diophantine方程的多通道最优去卷滤波器
%A DENG Zi-Li
%A WANG Yu-Cheng
%A LIU Wei-Hua
%A <br>邓自立
%A 王玉成
%A 刘伟华
%J 自动化学报
%D 2002
%I 
%X With the modern time series analysis method in the time domain and based on the autoregressive moving average (ARMA) innovation model and white noise estimators, new asymptotically stable multichannel optimal deconvolution filters in the ARMA innovation filter form and in the Wiener filter form are presented respectively. They avoid the solution of the Diophantine equations, and can handle the deconvolution filtering, smoothing and prediction problems in a unified framework. The relationship between the ARMA innovation filters and Wiener deconvolution filters is also given. A simulation example shows their effectiveness.
%K Multichannel optimal deconvolution filter
%K ARMA innovation filter
%K Wiener deconvolution filter
%K time domain approach<br>多通道最优去卷滤波器
%K Wiener去卷滤波器
%K 时域方法
%K Diophantine方程
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=15BFC0469740F383&yid=C3ACC247184A22C1&vid=D3E34374A0D77D7F&iid=CA4FD0336C81A37A&sid=2A8D03AD8076A2E3&eid=96C778EE049EE47D&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=8