Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy step-size adjustment for the LMS algorithm
Signal Processing
A first course in fuzzy logic
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
On-line identification of echo-path impulse responses by Haar-wavelet-based adaptive filter
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Exploiting sparsity in adaptive filters
IEEE Transactions on Signal Processing
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
IEEE Transactions on Signal Processing
Fast coupled adaptation for sparse impulse responses using a partial haar transform
IEEE Transactions on Signal Processing
Rapid identification of a sparse impulse response using an adaptive algorithm in the Haar domain
IEEE Transactions on Signal Processing
Fuzzy adaptive filters, with application to nonlinear channel equalization
IEEE Transactions on Fuzzy Systems
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Recently, a coupled echo canceller was proposed that uses two short adaptive filters for sparse echo cancellation. The first filter operates in the partial Haar domain and is used to locate the channel's dispersive region; the second filter is then centered around this location to cancel the echo in the time domain. In this paper, we propose feasible solutions to improve the performance of this partial Haar dual adaptive filter (PHDAF) in practical applications. These include: (1) alleviating the dependence of the PHDAFs performance on the echo-path impulse response's bulk delay; (2) improving the tracking performance of the PHDAF in response to abrupt changes in the echo path; and (3) extending the original PHDAF structure to support the cancellation of multiple echoes. The proposed algorithmic solutions exploit the Haar transform's polyphase representation and make use of a novel peak tendency estimator (PTE) based on Dezert-Smarandache theory (DSmT). The improved PHDAF is evaluated in terms of its mean-square error (MSE) curves and its mean time to properly locate a dispersive region for different SNRs. Results show that enhanced performance can be obtained using the proposed solutions at a minimal increase in computational cost.