Title :
Convergence properties of mixed-norm algorithms under general error criteria
Author :
Al-Naffouri, Tareq Y. ; Zerguine, Azzedine ; Bettayeb, Maamar
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
The convergence properties of mixed-norm algorithms as applied to echo cancelers under general error criteria are 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
Keywords :
adaptive signal processing; echo suppression; convergence properties; correlated inputs; echo cancelers; error criteria; error nonlinearities; identically distributed inputs; independent input case; linearization process; mixed-norm algorithms; Additive noise; Algorithm design and analysis; Analysis of variance; Convergence; DH-HEMTs; Integrated circuit noise; Linearity; Performance analysis; Physics; Telephony;
Conference_Titel :
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-5471-0
DOI :
10.1109/ISCAS.1999.778822
