Adaptive signal processing
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
A bibliography on nonlinear system identification
Signal Processing - Special section on digital signal processing for multimedia communications and services
Nonlinear acoustic echo cancellation with 2nd order adaptive Volterra filters
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Time distributed update of the NLMS algorithm coefficients for acoustic echo cancellers
Math'04 Proceedings of the 5th WSEAS International Conference on Applied Mathematics
Partially decoupled Volterra filters: formulation and LMSadaptation
IEEE Transactions on Signal Processing
A unified approach to the steady-state and tracking analyses ofadaptive filters
IEEE Transactions on Signal Processing
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In this paper, we are to develop a second-order LMS-type adaptive equalizer to reduce distortions of data transmission over analog telephone channels due the channel impulse response and inter-symbol interference (ISI). A novel approach for updating the linear and quadratic coefficients vectors of a second-order Volterra filter is presented. The innovative features of this algorithm provide distinct convergence treatment of the linear and quadratic Volterra filter kernels, hence providing a unique platform for both linear and nonlinear adaptive equalization. Simulations are carried in an equalization set-up to compare the performance of this algorithm with conventional and variable step LMS algorithms. The obtained results show that this algorithm brings substantial increase in the convergence speed while keeping, to some extent, the simplicity of the conventional LMS algorithm. Considering the performance of the formulated algorithm, it could be a useful tool for adaptive equalization applications.