DocumentCode
1465145
Title
On preprocessing for mismatched classification of Gaussian signals
Author
Ephraim, Yariv ; Roberts, William J.J.
Author_Institution
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
Volume
47
Issue
3
fYear
2001
fDate
3/1/2001 12:00:00 AM
Firstpage
1251
Lastpage
1256
Abstract
The optimal linear preprocessor for classifying two zero-mean Gaussian discrete-time signals which have been corrupted by additive zero-mean Gaussian noise is studied. Conditions for existence of the optimal linear preprocessor that achieves the performance of the likelihood ratio test for the noisy signals are given and the preprocessor is explicitly derived
Keywords
Gaussian noise; optimisation; signal classification; additive zero-mean Gaussian noise; i.i.d sources; likelihood ratio test; mismatched classification; noisy signals; optimal linear preprocessor; performance; preprocessing; zero-mean Gaussian discrete-time signals; Additive noise; Australia; Covariance matrix; Degradation; Gaussian noise; Information technology; Signal design; Signal processing; Signal to noise ratio; Testing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.915698
Filename
915698
Link To Document