Yousef, Nabil RSayed, Ali H.2017-12-192017-12-192017-12-19200110.1109/ICASSP.2001.940426https://infoscience.epfl.ch/handle/20.500.14299/143223The steady-state performance of adaptive equalizers can significantly vary when they are implemented in finite precision arithmetic, which makes it vital to analyze their performance in a quantized environment. In this paper, we present a fixed-point analysis for the steady-state mean square error (MSE) of a blind adaptive equalizer and the optimal value of the step-size that minimizes this MSE. Such expressions are useful for selecting the adequate wordlength of a blind equalizer to achieve a specific desired steady-state performancetext::conference output::conference proceedings::conference paper