SNR estimation and blind equalization (deconvolution) using the kurtosis

17 December 2002

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

p. 68
https://doi.org/10.1109/wits.1994.513897

Abstract

The underlying mathematical problem of both, SNR estimation and blind equalization, is the sum of random processes. It can be shown that it is sufficient to describe the random processes as well as their sum by a shape factor of the p.d.f., the kurtosis, which includes the second and fourth order moment.

Keywords

BLIND EQUALIZERS
DECONVOLUTION
RANDOM PROCESSES
SIGNAL TO NOISE RATIO
SIGNAL PROCESSING
GAUSSIAN PROCESSES
SHAPE
RANDOM VARIABLES
STRONTIUM
TIN

This publication has 2 references indexed in Scilit:

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
An SNR estimation algorithm using fourth-order moments
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002