Course Name: EE5280 : Detection Theory

Description: (1) Introduction: The mathematical detection problem ? hierarchy of detection problems. (2) Review of PDFs (3) Statistical Decision Theory I: NeymanPearson theoremreceiver operating characteristics (ROC) ? irrelevant data ? minimum probability of error ? Bayes risk ? multiple hypothesis testing. (4) Deterministic Signals: matched filter and its generalization ? linear model (5) Random Signals: estimatorcorrelatorgeneral Gaussian detection (6) Statistical Decision Theory II: composite hypothes

Slot: B

RoomNo: ESB 207B

Instructor: Sheetal Kalyani

Period: JUL-NOV 2013

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