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.
Original language | English |
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Title of host publication | Signal Processing IX Theories and Applications |
Subtitle of host publication | Proceedings of Eusipco-98, Ninth European Signal Processing Conference |
Pages | 1245-1248 |
Number of pages | 4 |
Publication status | Published - 1998 |
Event | 9th European Signal Processing Conference - Rhodes, Greece Duration: 8 Sept 1998 → 11 Sept 1998 |
Conference
Conference | 9th European Signal Processing Conference |
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Country/Territory | Greece |
City | Rhodes |
Period | 8/09/98 → 11/09/98 |
Keywords
- subband adaptive filters
- performance limitations
- modulated filter bank