Neyman-Pearson detection of Gauss-Markov signals in noise: Closed-form error exponent and properties

Youngchul Sung, Lang Tong, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Fingerprint

Dive into the research topics of 'Neyman-Pearson detection of Gauss-Markov signals in noise: Closed-form error exponent and properties'. Together they form a unique fingerprint.

Mathematics

Engineering & Materials Science