Comparative Study of the Filtered-X Lms and Lms Algorithms With Undermodelling Conditions
Author:
Affiliation:
1. Department of Electrical Engineering, Jordan University of Science and Technology. Irbid, Jordan 22110;
2. School of Information Technology and Engineering, University of Ottawa, Ottawa. Ontario KIN 6N5. Canada;
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Mechanics of Materials,Modeling and Simulation,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/02286203.2002.11442237
Reference4 articles.
1. B. Widrow & D. Stearns, Adaptive signal processing (Englewood Cliffs, NJ: Prentice-Hall, 1985).
2. M. Vukadinovic, Acoustic echo cancellation structure based on perceptual hearing criteria, master's thesis, University of Ottawa, Canada, 1996.
3. L.L. Horowitz & K.D. Senne, Performance advantage of complex LMS for controlling narrow-band adaptive arrays, IEEE Transactions on Acoustics, Speech and Signal Processing, 29(4), 1981, 722-736.
4. O.J. Tobias, J.C.M. Bermudez, & N.J. Bershard, Mean weight behavior of the filtered-X LMS algorithm, IEEE Transactions on Signal Processing, 48(4), 2000, 1061-1075.
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