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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | DeBrunner, V.E. Dayong Zhou |
| Copyright Year | 2004 |
| Abstract | The filtered-error LMS (FELMS) algorithms are widely used in multi-input and multi-output control (MIMO) active noise control (ANC) systems as an alternative to the filtered-x LMS (FXLMS) algorithms to reduce the computational complexity and memory requirements. However, the available FELMS algorithms introduce significant delays in updating the adaptive filter coefficients that slow the convergence rate. In this paper, we introduce a novel algorithm called the hybrid filtered-error LMS algorithm (HFELMS) which, while still a form of the FELMS algorithm, allows users to have some freedom to construct the error filter that guarantees its convergence with a sufficiently small step size. Without increasing the computational complexity, the proposed algorithm can improve the control system performance in one of several ways: 1) increasing the convergence rate without extra computation cost; 2) reducing the remaining noise mean square error (MSE); or 3) shaping the excess noise power. Simulation results show the effectiveness of the proposed method |
| Sponsorship | IEEE Circuits and Systems Society |
| Starting Page | 653 |
| Ending Page | 661 |
| Page Count | 9 |
| File Size | 674454 |
| File Format | |
| ISSN | 15498328 |
| Volume Number | 53 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Least squares approximation Control systems Convergence Computational complexity Noise reduction Noise shaping MIMO Active noise reduction Delay Adaptive filters convergence Active noise control (ANC) adaptive filters computational complexity |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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