An SNR estimation algorithm using fourth-order moments

17 December 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 119
https://doi.org/10.1109/isit.1994.394869

Abstract

An algorithm is presented that allows an estimation of the SNR just by the observation of the noisy signal. For the estimation, shape factors of the signal's and the noise's probability density functions are used. The algorithm is based on the second and fourth order moments of the observed noisy signal.

Keywords

RANDOM PROCESSES
STATISTICS
GAUSSIAN NOISE
SIGNAL TO NOISE RATIO
MATCHED FILTERS
SYSTEM TESTING
DECISION FEEDBACK EQUALIZERS
SHAPE
SIGNAL PROCESSING
CONVOLUTION

This publication has 2 references indexed in Scilit:

A digital transmission system using quaternary partial response CPM: principle structure and measurement results
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
Blind linear and decision feedback equalizers using fourth-order moments and their performance on twisted pair lines
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002