Title :
Minimum complexity sequential multihypothesis detection
Author :
Kose, Cenk ; Goeckel, Dennis L. ; Wei, Shuangqing
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Abstract :
Sequential multihypothesis testing techniques are considered that remove individual hypotheses from consideration as they become unlikely in order to minimize the “complexity” of the sequential test
Keywords :
Gaussian noise; computational complexity; error statistics; information theory; minimisation; probability; signal detection; white noise; minimum complexity test; sequential multihypothesis detection; sequential multihypothesis testing; signal detection; white Gaussian noise; Error probability; Frequency selective surfaces; Gaussian noise; Sequential analysis; Signal detection; Testing;
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
DOI :
10.1109/ISIT.2001.935881
