Title :
Theoretical aspects of power reduction for adaptive filters
Author :
Gupta, Robby ; Hero, Alfred O.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Adaptive filters are used in a number of applications, many of which can benefit from a reduction in power. In this paper we present derivations of the approximate expressions used for the increase in mean square error of the LMS adaptive algorithm when the total processing power is decreased
Keywords :
adaptive filters; filtering theory; least mean squares methods; LMS adaptive algorithm; adaptive filters; mean square error; optimal bit allocation; power reduction; processing power reduction; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Degradation; Energy consumption; Equations; Least squares approximation; Mean square error methods; Quantization; Steady-state;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756204
