Optimum error nonlinearities for long adaptive filters

In this paper, we consider the class of adaptive filters with error nonlinearities. In particular, we derive an expression for the optimum nonlinearity that minimizes the steady-state error and attains the limit mandated by the Cramer-Rae bound of the underlying estimation process.


Published in:
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2, II-1373
Presented at:
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Orlando, FL, USA, May 13-17, 2002
Year:
2002
Laboratories:




 Record created 2017-12-19, last modified 2018-03-17


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