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 :
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