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Patent

Training adaptive linear filters

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TLDR
Adaptive linear transversal filter is trained with a periodic training sequence having period exactly equal to the number of variable parameters of the filter to be set in the training mode.
Abstract
Adaptive linear transversal filter is trained with a periodic training sequence having period exactly equal to the number of variable parameters of the filter to be set in the training mode. After training, tap coefficients may be cycled in a closed loop to a preferred position.

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Citations
More filters
Journal ArticleDOI

Fast start-up equalization with periodic training sequences

TL;DR: The stability and convergence of the fast start-up algorithm with "stochastic" update in the presence of noise are examined and the one-shot method, which involves estimation of the inverse filter from one period of the received signal, proves to be robust in the absence of noise.
Patent

Adaptive echo canceller with sparse dynamically positioned taps

TL;DR: In this article, an echo cancellation scheme was proposed for a transmission line, including a shift register having an input for receiving an input signal from a signal source and having a plurality of output taps for providing an equally spaced delayed signals.
Patent

QAM receiver having automatic adaptive equalizer

TL;DR: In this article, a high speed QAM data communications receiver of the type adapted to receive bursts of signals having a bandwidth B Hz and sent at a predetermined rate of 1/T signals per second over a channel, wherein the receiver includes an automatic adaptive equalizer having taps spaced equally apart, tap coefficient circuitry for repeatedly multiplying the output of each tap by a respective tap coefficient, and adjustment circuitry for adjusting the tap coefficients, and output circuitry responsive to the equalizer for providing output signals at times kT + τ, k = 0, 1,..., where τ
Patent

Self-calibrating continuous-time equalization

TL;DR: In this paper, a continuous-time equalizer for reducing ISI in data received from a communication channel, and methods and circuitry for tuning or calibrating that equalizer are presented. But these methods are limited to a single channel.