Name
Title | ||
|---|---|---|
Design and complexity analysis of an improved adaptive filtering algorithm for non-sparse impulse response. |
Abstract | ||
|---|---|---|
An improved adaptive filtering (IMPNLMS+) algorithm has been proposed for non-sparse impulse responses by incorporating an adaptive parameter μ of the μ-law compression into the improved μ-law PNLMS algorithm (IMPNLMS) algorithm. It not only achieves optimal step-size control factors but also overcomes that the convergence of classical μ-law PNLMS (MPNLMS) is even slower than conventional NLMS algorithm for dispersive channels. In this paper, we propose IMPNLMS++ algorithm, where normalized algorithm is analyzed to reduce computational complexity of proposed improved μ-law PNLMS (IMPNLMS+) algorithm. The validity has been proved by the simulation results. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1186/1687-1499-2014-14 | EURASIP J. Wireless Comm. and Networking |
Keywords | Field | DocType |
IMPNLMS + algorithm, Non-sparse impulse response, Computational complexity | Convergence (routing),Impulse response,Mathematical optimization,Adaptive filtering algorithm,Normalization (statistics),Computer science,Communication channel,Algorithm,Real-time computing,Impulse (physics),Adaptive filter,Computational complexity theory | Journal |
Volume | Issue | ISSN |
2014 | 1 | 1687-1499 |
Citations | PageRank | References |
3 | 0.51 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Songlin Sun | 1 | 176 | 25.76 |
| Tiantian Ran | 2 | 16 | 1.78 |
| Na Chen | 3 | 45 | 6.26 |
| Guihong Li | 4 | 3 | 0.51 |
| Chenglin Zhao | 5 | 303 | 42.95 |