Title :
Implementation of signal power estimation methods
Author :
Cheng, Sei-Yeu ; Evans, Joseph B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas Univ., Lawrence, KS, USA
Abstract :
Methods of performing sum-of-squares signal power estimation which may be implemented in an extremely simple manner are presented. Two sum-of-square signal power estimators are presented. One of these is to be used with a power-of-two quantizer, and the other without. Both improve the implementation complexity of their respective systems with little or no degradation in overall algorithm performance. Comparison, and example designs in a CMOS process illustrate the advantages of the new methods. These methods can be applied to a variety of algorithms, such as normalized adaptive algorithms
Keywords :
CMOS integrated circuits; adaptive filters; digital integrated circuits; least squares approximations; signal processing; CMOS process; normalized adaptive algorithms; power-of-two quantizer; signal power estimation methods; sum-of-square signal power estimators; Adaptive algorithm; Algorithm design and analysis; CMOS process; Lattices; Least squares approximation; Power engineering and energy; Power engineering computing; Signal design; Signal processing; Signal processing algorithms;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230301
