Name
Title | ||
|---|---|---|
An exponentiated gradient adaptive algorithm for blind identification of sparse SIMO systems |
Abstract | ||
|---|---|---|
Sparse impulse responses are encountered in many acoustic and wireless channels. Recently, a class of exponentiated gradient (EG) algorithms has been proposed. One of the algorithms be- longing to this class, the so-called EG algorithm, converges and tracks much better than the classical stochastic gradient, or LMS, algorithm for sparse impulse responses. In this paper, we apply this technique to blind identification of a sparse SIMO system and develop the multichannel EG algorithm. A simple experi- ment demonstrates its advantage in convergence compared to the MCLMS algorithm. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICASSP.2004.1326386 | ICASSP '04). IEEE International Conference |
Keywords | Field | DocType |
adaptive systems,convergence of numerical methods,gradient methods,identification,transient response,acoustic channels,blind channel identification,blind identification,exponentiated gradient adaptive algorithm,multichannel LMS algorithm,multichannel exponentiated gradient algorithms,single-input multiple-output system,sparse SIMO systems,sparse impulse responses,stochastic gradient algorithm,wireless channels | Convergence (routing),Transient response,Mathematical optimization,Wireless,Pattern recognition,Computer science,Adaptive system,Communication channel,Impulse (physics),Artificial intelligence,Adaptive algorithm | Conference |
Volume | ISSN | ISBN |
2 | 1520-6149 | 0-7803-8484-9 |
Citations | PageRank | References |
4 | 0.51 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jacob Benesty | 1 | 1941 | 146.01 |
| Yiteng Huang | 2 | 1239 | 98.26 |
| Jingdong Chen | 3 | 1460 | 128.79 |