Title :
Spectral density of random signals corrupted by multiplicative noise
Author_Institution :
University of Newcastle, Department of Electrical Engineering, Newcastle, Australia
fDate :
6/1/1967 12:00:00 AM
Abstract :
A simple method of evaluating the spectral density of stationary random signals corrupted by multiplicative noise is presented. It is assumed that the multiplicative noise is also stationary, and that it is statistically independent of the signal.
Keywords :
filtering and prediction theory; identification and modelling; information theory; noise;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19670182
