ELEC 531_ Statistical Signal Processing syllabus

ELEC 531_ - ELEC 531 Statistical Signal Processing Course Outline ELEC 531 Statistical Signal Processing Fall 2007 The Basics Instructor Michael

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ELEC 531: Statistical Signal Processing: Course Outline ELEC 531: Statistical Signal Processing Fall 2007 The Basics Instructor: Michael Lexa Lectures: Tuesday, Thursday 1:00-2:20 p.m., Herzstein 118 Office hours: Mondays 2-4 p.m. DH 2031 or by appointment Graders: Debashi Dash, Mona Sheikh Description Introductory graduate level course in statistical signal processing. This course focuses on the roles---good and bad---that stochastic signals play. Some interesting signals, e.g. communication and neural signals, are by their very nature stochastic. Deterministic signals, when measured in the presence of random noise, can also be modeled as stochastic signals. Statistical signal processing develops optimal algorithms to extract information from or in the presence of stochastic signals. All of these algorithms hinge on fundamental results in estimation and detection. Prerequisites : Knowledge of stochastic processes and probability. Course Outline
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This note was uploaded on 02/11/2008 for the course ELEC 531 taught by Professor Lexa during the Fall '07 term at Rice.

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ELEC 531_ - ELEC 531 Statistical Signal Processing Course Outline ELEC 531 Statistical Signal Processing Fall 2007 The Basics Instructor Michael

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