Title :
Improvement of the stability of the normalized LMS method under noisy environment
Author :
Takagi, Tatsuya ; Takumi, Lchi ; Hata, Masayasu
Author_Institution :
Dept. of Electr. & Comput. Eng., Nagoya Inst. of Technol., Japan
Abstract :
On the learning identification algorithm the value of echo return loss enhancement (ERLE) after saturation fluctuates for colored input signal under noisy environment. This paper proposes to improve the stability of ERLE by controlling the relaxation factor α, using the norm ||x&oarr;(j)||2 of input signal x&oarr;(j)
Keywords :
digital filters; echo suppression; learning systems; least squares approximations; relaxation theory; stability; echo return loss enhancement; learning identification algorithm; noisy environment; normalized LMS method; relaxation factor; stability; Adaptive algorithm; Computer simulation; Echo cancellers; Gaussian noise; Least squares approximation; Noise cancellation; Signal to noise ratio; Stability; Telephony; Working environment noise;
Conference_Titel :
Singapore ICCS/ISITA '92. 'Communications on the Move'
Print_ISBN :
0-7803-0803-4
DOI :
10.1109/ICCS.1992.255074
