Name
Title | ||
|---|---|---|
Adaptive noise filtering based on artificial hydrocarbon networks: An application to audio signals. |
Abstract | ||
|---|---|---|
•It presents a novel training algorithm for artificial hydrocarbon networks.•That training allows developing a novel audio filter.•The proposed audio filter was implemented in three different scenarios.•It presents a comparison between current results and previous results reported earlier. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.eswa.2013.12.040 | Expert Systems with Applications |
Keywords | Field | DocType |
Artificial organic networks,Artificial hydrocarbon networks,Audio signal processing | Audio signal,Noise measurement,Computer science,Filter (signal processing),Speech recognition,White noise,Adaptive filter,Audio signal processing,Intelligibility (communication) | Journal |
Volume | Issue | ISSN |
41 | 14 | 0957-4174 |
Citations | PageRank | References |
6 | 0.93 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiram Ponce-Espinosa | 1 | 6 | 0.93 |
| Pedro Ponce | 2 | 6 | 0.93 |
| Arturo Molina | 3 | 642 | 69.86 |