Abstract: The recent digital transmission systems impose the application of channel equalizers with short training time and high tracking rate. Equalization techniques compensate for the time dispersion introduced by communication channels and combat the resulting inter-symbol interference (ISI) effect. Given a channel of unknown impulse response, the purpose of an adaptive equalizer is to operate on the channel output such that the cascade connection of the channel and the equalizer provides an approximation to an ideal transmission medium. Typically, adaptive equalizers used in digital communications require an initial training period, during which a known data sequence is transmitted. A replica of this sequence is made available at the receiver in proper synchronism with the transmitter, thereby making it possible for adjustments to be made to the equalizer coefficients in accordance with the adaptive filtering algorithm employed in the equalizer design. In this paper, an overview of the current state of the art in adaptive equalization techniques has been presented.

Garima Malik and Amandeep Singh Sappal, “Adaptive Equalization Algorithms: An Overview” International Journal of Advanced Computer Science and Applications(IJACSA), 2(3), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020311

@article{Malik2011,
title = {Adaptive Equalization Algorithms: An Overview},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020311},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020311},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {3},
author = {Garima Malik and Amandeep Singh Sappal}
}