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Detection and estimation 732


 
Module code EOP 732
Qualification Postgraduate
Faculty Faculty of Engineering, Built Environment and Information Technology
Module content

Binary hypotheses, M hypothesis, decision criteria, performance. Estimation theory: Random parameters, Bayes estimation, multiple parameter estimation. Composite hypotheses. The general Gaussian problem. Performance bounds and approximations. Representations of random processes. Detection of signals-estimation of signal parameters, including detection in non-white noise, sufficient statistics. Signals with unwanted parameters, the composite hypothesis problem.
Module credits 32.00
Prerequisites Theory of bayesian inference ETB732
Contact time 32 contact hours per semester
Language of tuition Module is presented in English
Academic organisation Electrical, Electronic and Com
Period of presentation Semester 2
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