Adaptive Filters

Authors

  • Dr. Ziad Sobih

Keywords:

the optimum and suboptimum receiver, automatically adjust the equalizer coefficient, characteristics including convergence rate and computational comp

Abstract

We know the optimum and suboptimum receiver for ISI in the transmission through band-limited non ideal channels. The optimum employ maximum likelihood detection. The sub optimum employ linear equalizer. In our design of the equalizer we assume that we know at the receiver the impulse response of the channel or the frequency response. In most communication channels this response is varying as a function of time. In this case we use an equalizer to adapt for this change. In this paper we will automatically adjust the equalizer coefficient to adapt for channel changes. We also analyze the performance characteristics including convergence rate and computational complexity.

How to Cite

Dr. Ziad Sobih. (2014). Adaptive Filters. Global Journals of Research in Engineering, 14(F7), 7–13. Retrieved from https://engineeringresearch.org/index.php/GJRE/article/view/1125

Adaptive Filters

Published

2014-05-15