DocumentCode
2621635
Title
An SNR estimation algorithm using fourth-order moments
Author
Matzner, Rolf ; Englberger, Ferdinand
Author_Institution
Inst. for Commun. Eng., Federal Armed Forces Univ., Munich, Germany
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
119
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
Gaussian noise; estimation theory; higher order statistics; probability; random processes; signal processing; Gaussian noise; SNR estimation algorithm; fourth-order moments; noisy signal; probability density functions; second-order moments; shape factors; Convolution; Decision feedback equalizers; Gaussian noise; Matched filters; Random processes; Shape; Signal processing; Signal to noise ratio; Statistics; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394869
Filename
394869
Link To Document