Title :
On the theory and application of universal classification to signal detection
Author :
Warke, N. ; Orsak, G.C.
Author_Institution :
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
Abstract :
The authors apply methods of universal classification to the problem of classifying one of M deterministic signals in the presence of dependent non-Gaussian noise
Keywords :
noise; probability; signal detection; M-ary signal classification; asymptotic probability; dependent non-Gaussian noise; deterministic signals; signal detection; universal classification; Artificial intelligence; Data compression; Detectors; Electronic mail; Hydrogen; Quantization; Signal detection; Statistical analysis; Statistics; Testing;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513908
