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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Werner, S. Diniz, P.S.R. Moreira, J.E.W. |
| Copyright Year | 2006 |
| Description | Author affiliation: Signal Process. Lab., Helsinki Univ. of Technol. (Werner, S.) |
| Abstract | This paper proposes a data-selective affine projection algorithm. The algorithm generalizes the ideas of the conventional set-membership affine-projection (SM-AP) algorithm to include a variable data-reuse factor. By utilizing the information provided by the data-dependent step size, we propose an assignment rule that automatically adjust the number of data reuses. A particular reduced-complexity implementation of the proposed algorithm is also considered in order to reduce the dimensions of the matrix inversions involved in the computation of update. Simulations show that a significant reduction in the overall complexity can be obtained with the algorithm as compared with the conventional SM-AP algorithm. In addition, the proposed algorithm retains the fast convergence of the conventional SM-AP algorithm, and the low steady-state error of the SM-NLMS algorithm |
| Sponsorship | The Inst. of Electr. and Electron. Eng., Inc. Circuits and Syst. Soc. (IEEE CASS) |
| File Size | 3124500 |
| File Format | |
| ISBN | 0780393899 |
| DOI | 10.1109/ISCAS.2006.1692572 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-21 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Projection algorithms Signal processing algorithms Adaptive filters Nonlinear filters Computational complexity Convergence Laboratories Steady-state Error correction Filtering |
| Content Type | Text |
| Resource Type | Article |
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