Title :
Generalized signal-to-noise ratio and its estimation
Author :
Khattree, Ravindra ; Gupta, Rameshwar D.
Author_Institution :
B.F. Goodrich Co., Avon Lake, OH, USA
fDate :
12/1/1990 12:00:00 AM
Abstract :
A generalized realized signal-to-noise ratio (generalized RSNR) is defined for the situation where there are r, p-dimensional, real, or complex valued signals and a transmitted message is to be classified as either one of them or as pure white noise. Certain estimators of generalized RSNR are suggested under various loss functions. The closest estimator in the sense of Pitman is obtained. Finally, a lower confidence bound is provided
Keywords :
signal processing; complex valued signals; generalised SNR; generalised signal to noise ratio; lower confidence bound; real valued signals; signal processing; transmitted message; white noise; Computer science; Councils; Eigenvalues and eigenfunctions; Lakes; Niobium; Signal to noise ratio; Statistics; White noise;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
