THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
- ARCHIVE for reference only
THIS PAGE IS OUT OF DATE

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Engineering : Postgrad (School of Engineering)

Postgraduate Course: Array Processing Methods (PGEE11018)

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 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
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 None
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 09:00 - 10:50
King's BuildingsTutorial1-11 12:10 - 13:00
First Class Week 1, Tuesday, 09:00 - 10:50, Zone: King's Buildings. CR8, 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 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
90% closed-book formal written examination; 10% class tests conducted during the teaching semester.
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 Array processing, signals, spatial sampling, beamforming, subspace methode, parametric methods, MIMO
Contacts
Course organiser Dr Pei-Jung Chung
Tel: (0131 6)50 5565
Email: P.Chung@ed.ac.uk
Course secretary Mrs Kim Orsi
Tel: (0131 6)50 5687
Email: Kim.Orsi@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Timetab
Prospectuses
Important Information
 
copyright 2011 The University of Edinburgh - 31 January 2011 8:05 am