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Convergence properties of mixed-norm algorithms under general error criteria: ANALOG AND DIGITAL SIGNAL PROCESSING
Conference proceeding

Convergence properties of mixed-norm algorithms under general error criteria: ANALOG AND DIGITAL SIGNAL PROCESSING

T Y Al-Naffouri, A Zerguine, M Bettayeb and IEEE
ISCAS '99: PROCEEDINGS OF THE 1999 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 3, pp.211-214
01/01/1999

Abstract

Computer Science Computer Science, Hardware & Architecture Computer Science, Theory & Methods Engineering Engineering, Electrical & Electronic Science & Technology Technology
The convergence properties of mixed-norm algorithms as it applies to echo cancelers under general error criteria is derived for correlated and identically distributed inputs. The convergence analysis of this class of algorithms is carried out using the linearization process of the error nonlinearities. Necessary and sufficient conditions for convergence are derived for the independent input case.

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