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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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DRPS : Course Catalogue : School of Engineering : Postgrad (School of Engineering)

Postgraduate Course: Adaptive Signal Processing (PGEE11019)

Course Outline
School School of Engineering College College of Science and Engineering
Course type Standard Availability Available to all students
Credit level (Normal year taken) SCQF Level 11 (Postgraduate) Credits 10
Home subject area Postgrad (School of Engineering) Other subject area None
Course website None Taught in Gaelic? No
Course description This course will deal with the theory and applications of advanced signal processing topics, in particular modern spectral analysis, spectral estimation techniques and signal detection and the theory of adaptive filters and their applications.
Algorithms and structures for optimal linear filters: Optimum IIR filters, Inverse filtering and deconvolution, channel equalisation, matched and eigen-filters, Kalman filter; Adaptive Filters: Principles, Methods of Steepest descent, Recursive Least Squares based methods, Fast RLS methods, Performance Measures; Applications of Adaptive Filters: Adaptive Equalisation, Adaptive Noise Cancelling, Prediction; Modern Spectral Analysis: AR Spectral analysis, LPC, MV spectral analysis; Array Fundamentals: Beamforming, Optimum Array processing, Adaptive Beamforming


Entry Requirements
Pre-requisites It is RECOMMENDED that students have passed Statistical Signal Processing (PGEE11027) AND Discrete-Time Signal Analysis (PGEE11026)
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs Compulsory book purchase: B. Mulgrew, P.M. Grant, and J.S. Thompson, Digital Signal Processing: Concepts and Applications (2nd Ed), Palgrave, 2003
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? Yes
Course Delivery Information
Delivery period: 2010/11 Semester 2, Available to all students (SV1) WebCT enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
King's BuildingsLecture1-11 11:10 - 13:00
King's BuildingsTutorial1-11 12:10 - 13:00
First Class Week 1, Tuesday, 11:10 - 13:00, Zone: King's Buildings. Classroom 8, Hudson Beare Building
Exam Information
Exam Diet Paper Name Hours:Minutes Stationery Requirements Comments
Main Exam Diet S2 (April/May)1:3012 sides
Summary of Intended Learning Outcomes
The students should understand the foundations of modern signal processing methods such as spectral analysis and estimation as well as adaptive filters. They should also be able to understand practical applications of these concepts and their limitations.
Assessment Information
100% closed-book formal written examination
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
Keywords spectral analysis, spectral estimation, signal detection, adaptive filters, least squares methods
Contacts
Course organiser Prof Bernie Mulgrew
Tel: (0131 6)50 5580
Email: B.Mulgrew@ed.ac.uk
Course secretary Mrs Kim Orsi
Tel: (0131 6)50 5687
Email: Kim.Orsi@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 8:05 am