The novel two-dimensional adaptive filter algorithms with the performance analysis
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- 作者：Mohammad Shams Esfand Abadi ; mshams@srttu.edu" class="auth_mail ; Sahar Nikbakht Aali sahar.nikbakht@elec.iust.ac.ir" class="auth_mail
- 关键词：Two-dimensional adaptive filters ; Selective partial update ; Selective regressor ; Mean-square performance ; 2D system identification ; Noise cancellation
- 刊名：Signal Processing
- 出版年：October 2014
- 年：2014
- 卷：103
- 期：Complete
- 页码：348-366
- 全文大小：3956 K
文摘
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The establishment of the novel 2D adaptive filters such as 2D-SPU-NLMS, 2D-SPU-APA, and 2D-SRAPA which lead to the reduction of the computational complexity in 2D applications.
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The mean-square performance analysis of 2D adaptive filter algorithms and studying the transient and steady-state performance of them.
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Demonstration of the presented algorithms in 2D system identification and 2D-ANC applications.