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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2006/2007
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Home : College of Science and Engineering : School of Engineering and Electronics (Schedule M) : Postgraduate (School of Engineering and Electronics)

Array Processing Methods (P01757)

? Credit Points : 10  ? SCQF Level : 11  ? Acronym : EEL-P-PGAPM

Motivation of array processing, wave propagation, signals in time and frequency, random fields, apertures and arrays, spatial sampling, adaptive beamforming, subspace methods, eigenanalysis, MUSIC, paramteric methods, maximum likelihood estimators, multiple input multiple output systems, MIMO channel models, fading, multipath propagation

? Keywords : Array processing, signals, spatial sampling, beamforming, subspace methode, parametric methods, MIMO

Entry Requirements

? Pre-requisites : Prior attendance of Statistical Signal Processing and Discrete-Time Signal Analysis is recommended.

Subject Areas

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 3 hour(s) per week for 11 weeks

All of the following classes

Type Day Start End Area
Lecture Tuesday 09:00 10:50 KB

Summary of Intended Learning Outcomes

The students should be able to understand wave propagation models, the representation of signals in time and frequency, basics of antennas and mathematical methods related such as subspace and parametric methods.
They should by able to explain the benefits of array processing in signal processing and communications and understand practical applications in beamforming and multiple input multiple output (MIMO) communication systems.

Assessment Information

100% closed-book formal written examination

Exam times

Diet Diet Month Paper Code Paper Name Length
1ST May 1 - 1 hour(s) 30 minutes

Contact and Further Information

The Course Secretary should be the first point of contact for all enquiries.

Course Secretary

Miss Sarah Thomson
Tel : (0131 6)50 5687
Email : S.Thomson@ed.ac.uk

Course Organiser

Dr Norbert Goertz
Tel : (0131 6)50 7451
Email : Norbert.Goertz@ed.ac.uk

School Website : http://www.see.ed.ac.uk/

College Website : http://www.scieng.ed.ac.uk/

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