The performance of decision feedback equalizers (DFEs) working on a communication channel with correct taps is studied. In the case of noiseless channels we show that the space of channel parameters can accordingly be partitioned into a finite number of sets. The error recovery performance of a DFE is the same for all DFEs within one such set, and is determinable. We also discuss some tight bou...

The equalization of digital communication channel is an important task in high speed data transmission techniques. The multipath channels cause the transmitted symbols to spread and overlap over successive time intervals. The distortion caused by this problem is called inter-symbol interference (ISI) and is required to be removed for reliable communication of data over communication channels. I...

In this paper, we present low-power reconfigurable adaptive equalizers derived via dynamic algorithm transforms (DAT’s). The principle behind DAT is that conventional signal processing systems are designed for the worst case and are not energy-optimum on average. Therefore, significant energy savings can be achieved by optimally reconfiguring the hardware in these situations. Practical reconfig...

In high density magnetic recording, noise samples corresponding to adjacent signal samples are heavily correlated as a result of front-end equalizers, media noise, and signal nonlinearities combined with nonlinear filters to cancel them. This correlation significantly deteriorates the performance of detectors at high densities. In this paper, we propose a novel sequence detector that is correla...

This paper presents a systematic synthesis procedure for H,-optimal adaptive FIR equalizers over a timevarying wireless channel. The channel is assumed to be frequency selective with Rayleigh fading. The proposed equalizer structure consists of the series connection of an adaptive FIR filter and a fixed equalizer (designed for the nominal channel). Adaptation of the weight vector of the adaptiv...

This paper presents a theoretical analysis of the static and dynamic convergence behavior for a general class of adaptive blind equalizers. We rst study the properties of prediction error functions of blind equalization algorithms, and then we use these properties to analyze the static and dynamic convergence behavior based on the independent assumption. We prove in this paper that with a small...

| Adaptive channel equalization algorithms are commonly used in wireless communications receivers to counter intersymbol interference, multi-path dispersion, and other time varying channel degradations. In this paper we obtain approximate expressions for the increase in mean square error of the LMS adaptive algorithm when the total processing power is decreased by reducing the number of data an...

A processor for the adaptation of the coefficients in high throughput adaptive equalizers will be presented. The accumulation operation fundamental basis of the adaptation process is split into two steps: A fine-grain carry-save accumulation with timesharing factor 2 collects the products of estimated error and input symbols over a blocklength of 16 input symbols and operates at twice the symbo...