Name
Abstract | ||
|---|---|---|
In various adaptive estimation applications, such as acoustic echo cancellation within teleconferencing systems, the input signal is a highly correlated speech. This, in general, leads to extremely slow convergence of the NLMS adaptive FIR estimator. As a result, for such applications, the affine projection algorithm (APA) or the low-complexity version, the fast affine projection (FAP) algorithm, is commonly employed instead of the NLMS algorithm. In such applications, the signal propagation channel may have a relatively low-dimensional impulse response structure, that is, the number m of active or significant taps within the (discrete-time modelled) channel impulse response is much less than the overall tap length n of the channel impulse response. For such cases, we investigate the inclusion of an active-parameter detection-guided concept within the fast affine projection FIR channel estimator. Simulation results indicate that the proposed detection-guided fast affine projection channel estimator has improved convergence speed and has lead to better steady-state performance than the standard fast affine projection channel estimator, especially in the important case of highly correlated speech input signals. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1155/2007/71495 | EURASIP J. Audio, Speech and Music Processing |
Keywords | Field | DocType |
Channel Impulse Response, Channel Estimator, Adaptive Estimation, Speech Input, Engineer Acoustics | Convergence (routing),Impulse response,Digital signal processing,Computer science,Communication channel,Speech recognition,Adaptive filter,Affine projection,Radio propagation,Estimator | Journal |
Volume | Issue | ISSN |
2007 | 1 | 1687-4722 |
Citations | PageRank | References |
1 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Jennifer Wu | 1 | 22 | 6.01 |
| John Homer | 2 | 74 | 5.91 |
| Geert Rombouts | 3 | 167 | 14.46 |
| Marc Moonen | 4 | 3673 | 326.91 |