This book contains a number of problems of signal detection theory. A generalized observation model for signal detection problems is included. The model includes several interesting and common special cases such as those describing additive noise, multiplicative noise, and signal-dependent noise. The model can also describe composite signals in addition to the usual known (deterministic) signals and random (stochastic) signals. Locally optimum (LO) and locally optimum rank (LOR) detectors for known and random signals in the model are discussed, and original results are obtained. Other approaches to detection of signals are also discussed.
Author(s): Professor Iickho Song, Assistant Professor Jinsoo Bae, Sun Yong Kim PhD, SrMIEEE (auth.)
Series: Signals and Communication Technology
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2002
Language: English
Pages: 396
Tags: Signal, Image and Speech Processing;Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences;Measurement Science and Instrumentation
Front Matter....Pages I-XII
Preliminaries....Pages 1-58
Locally Optimum Detection of Known Signals....Pages 59-84
Locally Optimum Detection of Random Signals....Pages 85-121
Locally Optimum Detection of Composite Signals....Pages 123-183
Known Signal Detection with Signs and Ranks....Pages 185-238
Random Signal Detection with Signs and Ranks....Pages 239-282
Signal Detection in Weakly-Dependent Noise....Pages 283-318
Signal Detection with Fuzzy Observations....Pages 319-381
Back Matter....Pages 383-395
