Name
Title | ||
|---|---|---|
An improved partial Haar dual adaptive filter for rapid identification of a sparse echo channel |
Abstract | ||
|---|---|---|
Recently, a coupled echo canceller was proposed that uses two short adaptive filters for sparse echo cancellation. The first filter operates in the partial Haar domain and is used to locate the channel's dispersive region; the second filter is then centered around this location to cancel the echo in the time domain. In this paper, we propose feasible solutions to improve the performance of this partial Haar dual adaptive filter (PHDAF) in practical applications. These include: (1) alleviating the dependence of the PHDAFs performance on the echo-path impulse response's bulk delay; (2) improving the tracking performance of the PHDAF in response to abrupt changes in the echo path; and (3) extending the original PHDAF structure to support the cancellation of multiple echoes. The proposed algorithmic solutions exploit the Haar transform's polyphase representation and make use of a novel peak tendency estimator (PTE) based on Dezert-Smarandache theory (DSmT). The improved PHDAF is evaluated in terms of its mean-square error (MSE) curves and its mean time to properly locate a dispersive region for different SNRs. Results show that enhanced performance can be obtained using the proposed solutions at a minimal increase in computational cost. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.sigpro.2008.10.033 | Signal Processing |
Keywords | Field | DocType |
improved phdaf,tracking performance,sparse echo cancellation,phdafs performance,dezert–smarandache theory,sparse system identification,original phdaf structure,haar transform,enhanced performance,rapid identification,adaptive filters,echo canceller,line echo cancellation,dispersive region,echo path,multiple echo,fuzzy inference,sparse echo channel,partial haar dual adaptive,line echo cancellation sparse system identification adaptive filters haar transform dezert-smarandache theory fuzzy inference,system identification,adaptive filter,mean square error,time domain | Time domain,Noise reduction,Impulse response,Signal processing,Polyphase system,Control theory,Signal-to-noise ratio,Algorithm,Mean squared error,Speech recognition,Adaptive filter,Mathematics | Journal |
Volume | Issue | ISSN |
89 | 5 | Signal Processing |
Citations | PageRank | References |
4 | 0.47 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Kechichian | 1 | 6 | 1.91 |
| B. Champagne | 2 | 52 | 3.43 |