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2021 Vol.40, Issue 3 Preview Page

Research Article

May 2021. pp. 213-218
Abstract
References
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C. Davila, "An efficient recursive total least squares algorithm for FIR adaptive filtering," IEEE Trans Signal Process. 42, 268-280 (1994). 10.1109/78.275601
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R. Arablouei, K. Dogancay, and S. Werner, "Recursive total least-squares algorithm based on inverse power method and dichotomous coordinate-descent iterations," IEEE Trans Signal Process. 63, 1941-1949 (2015). 10.1109/TSP.2015.2405492
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N. Choi, J. Lim, J. Song, and K. Sung," Adaptive system identification using an efficient recursive total least squares algorithm" (in Korean), J. Acoust. Soc. Kr. 22, 93-100 (2003).
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J. Lim, "Error in variable FIR typed system identification using combining total least mean squares estimation with least mean squares estimation" (in Korean), J. Acoust. Soc. Kr. 29, 97-101 (2010).
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J. Lim and Y. Pyeon, "FIR system identification method using collaboration between RLS (recursive least squares) and RTLS (recursive total least squares)" (in Korean), J. Acoust. Soc. Kr. 29, 374-380 (2010).
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J. Lim and H. Pang, "Reweighted l1 regularized TLS linear neuron for the sparse system identification," Neurocomputing, 173, 1972-1975 (2016). 10.1016/j.neucom.2015.08.020
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J. Lim and H. Pang, "l1- regularized recursive total least squares based sparse system identification for the error-in-variables," SpringerPlus, 5, 1-9 (2016). 10.1186/s40064-016-3120-627652035PMC5007238
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A. H. Sayed, Fundamentals of Adaptive Filtering (Wiley, NewYork, 2003), pp. 212-280.
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B. Xi and Y. Liu, "Iterative Wiener filter," Electronics Letters, 28, 1892-1899 (2013).
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J. Lim, "L1-norm iterative wiener filter for sparse channel estimation," Circuits Syst Signal Process. 39, 6386-6393 (2020). 10.1007/s00034-020-01467-x
Information
  • Publisher :The Acoustical Society Of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 40
  • No :3
  • Pages :213-218
  • Received Date :2021. 02. 26
  • Accepted Date : 2021. 04. 16