Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Adaptive Filtering: Algorithms and Practical Implementation
Adaptive Filtering: Algorithms and Practical Implementation
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
Complexity considerations for transform-domain adaptive filters
Signal Processing
Selective Coefficient Update of Gradient-Based Adaptive Algorithms
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Set-membership binormalized data-reusing LMS algorithms
IEEE Transactions on Signal Processing
Adaptive filtering in subbands using a weighted criterion
IEEE Transactions on Signal Processing
Complexity reduction of the NLMS algorithm via selectivecoefficient update
IEEE Transactions on Signal Processing
Partial-update NLMS algorithms with data-selective updating
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A new approach to subband adaptive filtering
IEEE Transactions on Signal Processing
A variable step-size matrix normalized subband adaptive filter
IEEE Transactions on Audio, Speech, and Language Processing
Adaptive combination of subband adaptive filters with selective partial updates
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
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This paper presents three efficient subband adaptive filter (SAF) algorithms featuring low computational complexity. In the first algorithm, which is called selective partial update SAF (SPU-SAF), the filter coefficients are partially updated in each subband rather than the entire filter at every adaptation. In the second one, the concept of set-membership (SM) adaptive filtering is extended to the SAFs and a novel SM-SAF algorithm is presented. This algorithm exhibits superior performance with significant reduction in the overall computational complexity compared with the ordinary SAF. The third algorithm is based on the combination of the ideas in the SPU-SAF and SM-SAF algorithms. We demonstrate the usefulness of the proposed algorithms through simulations.