Name
Abstract | ||
|---|---|---|
A fully adaptive feedforward control algorithm is proposed for general active noise control (ANC) when all the path dynamics are uncertain. To reduce the actual canceling error, two virtual errors are introduced and are forced into zero by adjusting three adaptive FIR filters in an on-line manner, which can result in the canceling at the objective point. Unlike other conventional approaches, the algorithm does not need exact identification of the secondary paths, and requires neither any dither signal nor the PE property of the source noise. The effectiveness of the proposed algorithm is validated in experiments of ANC using an air duct. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICASSP.2003.1201656 | ICASSP '03). 2003 IEEE International Conference |
Keywords | Field | DocType |
FIR filters,acoustic signal processing,active noise control,adaptive control,adaptive filters,feedforward,uncertain systems,ANC,adaptive FIR filters,adaptive active noise control,adaptive feedforward control algorithm,air duct,canceling error reduction,on-line manner,uncertain path dynamics,virtual errors | Noise (signal processing),Control theory,Computer science,Adaptive filter,Dither,Active noise control,Adaptive control,Duct (flow),Finite impulse response,Feed forward | Conference |
Volume | ISSN | ISBN |
6 | 1520-6149 | 0-7803-7663-3 |
Citations | PageRank | References |
4 | 0.52 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| akira sano | 1 | 249 | 33.14 |
| Yuhsuke Ohta | 2 | 4 | 0.52 |