Name
Title | ||
|---|---|---|
Adaptive reduced-rank MMSE filtering with interpolated FIR filters and adaptive interpolators |
Abstract | ||
|---|---|---|
In this letter, we propose a broadly applicable reduced-rank filtering approach with adaptive interpolated finite impulse response (FIR) filters in which the interpolator is rendered adaptive. We describe the interpolated minimum mean squared error (MMSE) solution and propose normalized least mean squares (NLMS) and affine-projection (AP) algorithms for both the filter and the interpolator. The resulting filtering structures are considered for equalization and echo cancellation applications. Simulation results showing significant improvements are presented for different scenarios. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/LSP.2004.842290 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
fir filters,adaptive filters,echo suppression,filtering theory,least mean squares methods,ap,nlms,adaptive equalization,adaptive finite impulse response filters,affine-projection algorithm,echo cancellation,interpolated fir,interpolators,minimum mean squared error,normalized least mean squares,reduced-rank mmse filtering,adaptive algorithms,interpolated fir filters,reduced-rank filtering | Least mean squares filter,Mathematical optimization,Normalization (statistics),Equalization (audio),Pattern recognition,Interpolation,Filter (signal processing),Minimum mean square error,Adaptive filter,Artificial intelligence,Finite impulse response,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 3 | 1070-9908 |
Citations | PageRank | References |
55 | 2.40 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| de Lamare, R.C. | 1 | 652 | 33.42 |
| Raimundo Sampaio-Neto | 2 | 364 | 15.03 |