ARMA信号的自校正去卷平滑器
Self-Tuning Deconvolution Smoothers for Arma Signals
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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[1-8],可应用于数据和信号处理[1,5,7,8]、通讯[2,6]、语音识 别[3]等许多不同领域.仿真例子说明了本文结果的有效性.Abstract: 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[1,5,7,8], communication [2,6] speech identification [3].A simulation example shows the usefullness of the proposed resuhs.
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Key words:
- Signal estimation /
- deconvolution /
- smoother /
- self-tuning
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