期刊
SIGNAL PROCESSING
卷 93, 期 5, 页码 1235-1242出版社
ELSEVIER
DOI: 10.1016/j.sigpro.2012.12.013
关键词
Signal processing; Filtering; Parameter estimation; Fast least squares; Iterative algorithm
资金
- National Natural Science Foundation of China [61273194]
- Natural Science Foundation of Jiangsu Province (China) [BK2012549]
- 111 Project [B12018]
Parameter estimation methods have wide applications in signal processing, communication and system identification. This paper derives an iterative least squares algorithm to estimate the parameters of output error systems and uses the partitioned matrix inversion lemma to implement the proposed algorithm in order to enhance computational efficiencies. The simulation results show that the proposed algorithm works well. (C) 2012 Elsevier B.V. All rights reserved.
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