The use of evolutionary programming for adaptive equalization of binary data bursts in a baseband digital communication system is studied. Evolutionary programming has been found to perform well for blind channel identification. In this paper it is shown that the usage of evolutionary programming techniques are beneficially also for adaptive channel equalization. We have also studied the effect...

This paper presents performance analysis of an adaptive Volterra/Hybrid equalizer in a nonlinear magneto-optic data storage channel. In a data storage system, nonlinear intersymbol interference (ISI) is one of the limiting factors for high storage density. Volterra and Hybrid (combination of linear and Volterra) equalizers are proposed and developed for compensation of nonlinear ISI. The use of...

Formula-based analysis of communication links with time-varying channels and adaptive equalizers is not always tractable Monte Carlo simulation must be used to obtain bit error rate (BER) estimates of the system. Conventional Monte Carlo simulation will not provide estimates for low BER's due to excessive run time. Although importance sampling (IS) techniques offer the potential for large speed...

This paper presents a comparative analysis of various linear and nonlinear equalizers for a high density optical channel. Since the read-out process is nonlinear, a suitable model basedon the Volterra series has been adopted. In this work, we compare the performance and complexity of equalizers designed for linear and nonlinear channels. Specifically, Adaptive Minimum Mean Square Error (MSE), A...

This paper proposes hardware architectures of adaptive equalizers applicable to both the quadrature amplitude modulation (QAM) and vestigial sideband modulation (VSB) systems. This paper presents digitization methods for QAM and VSB systems requiring a low hardware cost with the performance comparable to that of the algorithm employing oating-point operations. To reduce the hardware cost of the...

This paper presents performance analysis of an adaptive Volterra/Hybrid equalizer in a nonlinear magneto-optic data storage channel. In a data storage system, nonlinear intersymbol interference (ISI) is one of the limiting factors for high storage density. Volterra and Hybrid (combination of linear and Volterra) equalizers are proposed and developed for compensation of nonlinear ISI. The use of...

The potential presence of fractional delays, non-minimum phase parts, and a colouring of the channel output can require adaptive equalizers to adapt very long lters, which can have slow convergence for LMS-type adaptive algorithms. This paper presents a novel oversampled subband approach to adaptive equalization, which can both signi cantly reduce computational complexity, and improve convergen...