Adaptive AR modeling in Gaussian noise

Wen-Rong Wu*, Po Cheng Chen

*此作品的通信作者

研究成果: Paper同行評審

摘要

The AR modeling is widely used in signal processing. The coefficients of AR model can be easily obtained by a LMS prediction error filter. However, it is known that such filter will give bias coefficients when the input signal is corrupted by noise. In this paper, we proposes a new type of filter for adaptive AR modeling. It is shown that the new filter can converge to the Wiener solution without bias. Simulations are provided to demonstrate the excellent results of the new filter.

原文English
頁面225-228
頁數4
DOIs
出版狀態Published - 14 11月 1994
事件Proceedings of the IEEE International Conference on Communication Systems. Part 1 (of 3) -
持續時間: 14 11月 199418 11月 1994

Conference

ConferenceProceedings of the IEEE International Conference on Communication Systems. Part 1 (of 3)
期間14/11/9418/11/94

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