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

Volume

3

fYear

1992

fDate

10-13 May 1992

Firstpage

1235

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISCAS.1992.230301

Filename

230301