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431-640 Advanced Topics in Signal Processing | |
Availability | This subject may not be offered every year please refer to the Department of Electrical and Electronic Engineering |
Credit Points | 7.1 |
Coordinator | Professor R Tucker |
Prerequisites | Grade of H2B or better in 431-419 Digital Signal Processing and in 619-005 Probability and Stochastic Processes for Electrical Engineers or equivalent |
Semester | 2 |
Contact | 36 hours of lectures, directed reading, tutorials and project work |
Subject Description | Upon completion of this subject, the student will be equipped with many advanced and powerful tools which are essential for higher degree research in the area of signal processing. The content includes; Advanced topics chosen from: Spectral Estimation, Sensor Array Processing, Image Processing, Transforms (Fourier, Cosine), Subspace Methods, Detection and Estimation, Maximum Likelihood Estimation, EM Algorithms, Markov Chains, Hidden Markov Models, Blind System Identification. |
Assessment | One written examination not exceeding three-hours, practice classes, tests, assignments, and project reports not exceeding 20 pages |
Search : Index : Faculty of Engineering : School of Electrical Engineering and Computer Science
Prev 431-453 Directed Studies 4.2 (Electrical)
Next 431-641 Advanced Topics in Photonics
Status: Official 1998 Last Modified: Tuesday October 21 17:11 SGML to HTML Conversion: Information Technology Services Authorised by: Academic Registrar Email Enquiries: Course_Information@registrar.unimelb.edu.au