Partial-Update Normalized Sign LMS Algorithm Employing Sparse Updates-Reference-Cited by-同舟云学术

Partial-Update Normalized Sign LMS Algorithm Employing Sparse Updates

Published:2013 Issue:6 Volume:E96.A Page:1482-1487
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

KIM Seong-Eun¹,CHOI Young-Seok²,LEE Jae-Woo³,SONG Woo-Jin³

Affiliation:

1. Future IT Center, Samsung Advanced Institute of Technology (SAIT), Samsung Electronics

2. Department of Electronic Engineering, Gangneung-Wonju National University

3. Division of Electronic and Computer Engineering, Pohang University of Science and Technology (POSTECH)

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E96.A/6/E96.A_1482/_pdf

Reference16 articles.

1. [1] A.H. Sayed, Fundamentals of Adaptive Filtering, Prentice Hall, Englewood Cliffs, NJ, 2003.

2. [2] J. Nagumo and A. Noda, “A learning method for system identification,” IEEE Trans. Autom. Control, vol.AC-12, no.3, pp.282-287, June 1967.

3. [3] S.H. Cho, Y.S. Kim, and J.A. Cadzow, “Adaptive FIR filtering based on minimum L_∞-norm,” Proc. IEEE Pacific Rim Conf. Commun., Comput., Signal Process., vol.2, pp.643-646, B.C., Canada, May 1991.

4. [4] S.C. Douglas, “Adaptive filters employing partial updates,” IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol.44, no.3, pp.209-216, March 1997.

5. [5] K. Dogançay and O. Tanrikulu, “Adaptive filtering algorithms with selective partial updates,” IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol.48, no.8, pp.762-769, Aug. 2001.

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