Name
Title | ||
|---|---|---|
Realization of Block robust adaptive filters using Generalized Sliding Fermat Number Transform |
Abstract | ||
|---|---|---|
This paper is about an efficient implementation of adaptive filtering for echo cancelers. First, a realization of an improved Block Proportionate Normalized Least Mean Squares (BPNLMS ++ ) using Generalized Sliding Fermat Number Transform (GSFNT) is presented. Unfortunately, during the double-talk mode, the echo cancelers often diverge. We can cope with this problem by employing a double-talk detector formed by two Voice Activity Detectors (VADs) . We propose a general system based on the Robust-Block-PNLMS ++ (RBPNLMS ++ ) adaptive filter combined with a post-filter. The general system was imple- mented with GSFNT which can significantly reduce the computation complexity of the filter implantation on Digital Signal Processing (DSP) . I. INTRODUCTION |
Year | Venue | Keywords |
|---|---|---|
2006 | EUSIPCO | adaptive filters,computational complexity,echo suppression,least mean squares methods,signal processing,block robust adaptive filters,computation complexity,digital signal processing,echo cancelers,generalized sliding fermat number transform,improved block proportionate normalized least mean squares,voice activity detectors |
Field | DocType | ISSN |
Least mean squares filter,Digital signal processing,Normalization (statistics),Control theory,Algorithm,Kernel adaptive filter,Adaptive filter,Detector,Computation complexity,Mathematics,Fermat number transform | Conference | 2219-5491 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alaeddine, H. | 1 | 0 | 0.34 |
| E. H. Baghious | 2 | 14 | 3.21 |
| Madre, G. | 3 | 0 | 0.34 |
| G. Burel | 4 | 111 | 8.71 |