Name
Abstract | ||
|---|---|---|
In this paper, we evaluate the performance limitations of subband adaptive filters in terms of achievable final error terms. The limiting factors are the aliasing level in the subbands, which poses a distortion and thus presents a lower bound for the minimum mean squared error in each subband, and the distortion function of the overall filter bank, which in a system identification setup restricts the accuracy of the equivalent fullband model. Using a generalized DFT modulated filter bank for the subband decomposition, both errors can be stated in terms of the underlying prototype filter. If a source model for coloured input signals is available, it is also possible to calculate the power spectral densities in both subbands and reconstructed fullband. The predicted limits of error quantities compare favourably with simulations presented. |
Year | Venue | Keywords |
|---|---|---|
1998 | EUSIPCO | adaptive filters,channel bank filters,discrete Fourier transforms,least mean squares methods,performance evaluation,spectral analysis,accuracy restriction,achievable final error terms,aliasing level,coloured input signals,discrete Fourier transforms,distortion function,equivalent fullband model reconstruction,generalized DFT modulated filter bank,limiting factors,minimum mean squared error,performance limitation evaluation,power spectral density,subband adaptive filters,subband decomposition,system identification setup |
Field | DocType | ISBN |
Upper and lower bounds,Prototype filter,Control theory,Filter bank,Distortion function,Minimum mean square error,Aliasing,Adaptive filter,Distortion,Mathematics | Conference | 978-960-7620-06-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weiss, Stephan | 1 | 209 | 33.25 |
| R. W. Stewart | 2 | 23 | 6.18 |
| A. Stenger | 3 | 91 | 14.79 |
| R. Rabenstein | 4 | 119 | 15.00 |