Introducing an FPGA based - genetic algorithms in the applications of blind signals separation

@inproceedings{Emam2003IntroducingAF,
  title={Introducing an FPGA based - genetic algorithms in the applications of blind signals separation},
  author={H. Emam and M. A. Ashour and H. Fekry and A. M. Wahdan},
  booktitle={IWSOC},
  year={2003}
}
Genetic Algorithms (GAs) are one of the most advanced optimization techniques. The main objective of this paper, is introducing an FPGA implementation based genetic algorithm, then applying it, as an adaptive algorithm, on a non-linear adaptive filters for the purpose of blind signals separation. In this case, the non-linear estimator has been used to predict the error filter and GA will be used to optimize the filter coefficients through the search for a near optimum solution. The proposed… CONTINUE READING