ARMA信号的自校正去卷平滑器  

SELF-TUNING DECONVOLUTION SMOOTHERS FOR ARMA SIGNALS

作　　者：邓自立[1] 

机构地区：[1]黑龙江大学应用数学研究所

出　　处：《自动化学报》1989年第6期523-530,共8页Acta Automatica Sinica

摘　　要：本文从时间序列分析观点处理自适应信号去卷问题.应用新息方法和射影理论,对于通过线性系统被观测的未知的ARMA信号,本文提出了两类新的自校正最优去卷平滑器,包括了一些文献中的问题和结果作为特例,可应用于数据和信号处理、通讯、语音识别等许多不同领域.仿真例子说明了本文结果的有效性.This paper deals with the adaptive signal deconvolution problem from the point of view of the time series analysis. Using the innovation approach and projection theory, this paper presents two new kinds of self-tuning optimal deconvolution smoothers. The proposed results can be applied to many different fields, including data and signal processing, communication speech identification. A simulation example shows the usefullness of the proposed results.

关 键 词：信号估计 去卷 平滑器 ARMR信号 

分 类 号：TN911.23[电子电信—通信与信息系统]