Adaptive equalizer using finite-bit power-of-two quantizer

The performance of a simplified adaptive algorithm using finite-bit power-ef-two quantizer is analyzed by assuming Gaussian distributions for both input signals and equalizer output errors. The results show that in spite of its simple implementation, the performance is comparable with the least mean square (LMS) algorithm. The convergence and the stability is then studied, the output mean square error is analyzed and the effects of non-Gaussian cases are considered. Cemputer simulation results support the theoretical results.