Name
Title | ||
|---|---|---|
Neural networks preprocessing based adaptive latency change estimation of evoked potentials |
Abstract | ||
|---|---|---|
Based on the nonlinear processing ability of neural networks, a new method of estimation of latency change in evoked potentials (EPs) is proposed in this paper. Neural networks are utilized as filters before DLMS algorithm in EP latency change estimation in order to suppressing impulsive background noises. The new latency change estimation method shows robust performance under non-Gaussian α-stable noise conditions. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427469_117 | ISNN (3) |
Keywords | Field | DocType |
adaptive latency change estimation,nonlinear processing ability,evoked potential,neural network,robust performance,dlms algorithm,new method,new latency change estimation,ep latency change estimation,latency change,impulsive background noise | Nonlinear system,Background noise,Pattern recognition,Computer science,Latency (engineering),Speech recognition,Evoked potential,Preprocessor,Artificial intelligence,Artificial neural network | Conference |
Volume | ISSN | ISBN |
3498 | 0302-9743 | 3-540-25914-7 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongmei Sun | 1 | 77 | 13.66 |
| Tianshuang Qiu | 2 | 313 | 43.84 |
| Wenhong Liu | 3 | 0 | 0.34 |
| Wenqiang Guo | 4 | 12 | 2.46 |
| Hui Li | 5 | 0 | 0.34 |