Art

J-GLOBAL ID：201802241603915351   Reference number：18A0116298

A Computationally Efficient Leaky and Regularized RLS Filter for Its Short Length

短い長さのために計算効率の高いリーキーな正規化RLSフィルタ

Author (1)： HORITA Eisuke (School of Electrical and Computer Engineering, College of Scienceand Engineering, Kanazawa University)
Material： IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Web)  (IEICE Trans Fundam Electron Commun Comput Sci (Web))
Volume： E100.A  Issue： 12  Page： 3045-3048(J-STAGE)  Publication year： 2017 
JST Material Number： U0466A  ISSN： 1745-1337  Document type： Article
Article type： 短報  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： efficiency ,  *leakage ,  *least squares method ,  *filter ,  regularization ,  adaptive filter ,  coefficient
Semi thesaurus term： *recursive least square algorithm ,  Tikhonov regularization ,  calculate efficiency ,  weighting factor ,  *Normalized Least Mean Squares

Author keywords (5)： adaptive filter ,  RLS ,  computational complexity ,  regularization ,  Tikhonov

JST classification (1)： Digital filter  (NC04022Z)

Reference (14)：

• [1] A.H. Sayed, Adaptive Filters, IEEE Press, John Wiley & Sons, Inc., 2008.
• [2] S. Haykin, Adaptive Filter Theory, 2nd ed., Prentice Hall, 1991.
• [3] M.C. Tsakiris, C.G. Lopes, and V.H. Nascimento, “An array recursive least-squares algorithm with generic nonfading regularization matrix,” IEEE Signal Process. Lett., vol.17, no.12, pp.1001-1004, Dec. 2010. 10.1109/lsp.2010.2083652
• [4] L. Ljung, T. Söderström, Theory and Practice of Recursive Identification, MIT Press, Cambridge, MA, 1986.
• [5] G.E. Bottomley and S.T. Alexander, “A novel approach for stabilizing recursive least squares filters,” IEEE Trans. Signal Process., vol.39, no.8, pp.1770-1779, Aug. 1991. 10.1109/78.91147

Terms in the title (2)： 計算効率 ,  正規化