On the Performance of a Data-Reuse Fast RLS Algorithm for Acoustic Echo Cancellation
Author:
Affiliation:
1. University Politehnica of Bucharest,Department of Telecommunications,Bucharest,Romania
2. University of Quebec,INRS-EMT,Montreal,Canada
3. University Politehnica of Bucharest,SD-ETTI,Department of Telecommunications,Bucharest,Romania
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9858123/9858124/09858200.pdf?arnumber=9858200
Reference21 articles.
1. DCD-Based Recursive Adaptive Algorithms Robust Against Impulsive Noise
2. New Insights into the RLS Algorithm
3. Data-Reuse Recursive Least-Squares Algorithms
4. Low-Complexity Data Reusing Methodsin Adaptive Filtering
5. Convergence analysis of the binormalized data-reusing LMS algorithm
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1. A Practical Online Multichannel Dereverberation Approach with Data-Reuse Technique;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Ultrasonic Through-Metal Communication Based on Deep-Learning-Assisted Echo Cancellation;Sensors;2024-03-27
3. Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-01
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