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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2011/2012
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DRPS : Course Catalogue : School of Engineering : Electronics

Undergraduate Course: Digital Signal Analysis 4 (ELEE10010)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) Credits10
Home subject areaElectronics Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThe aim of this course is to impart a knowledge and understanding of statistical analysis of signals and systems when considered in the time and frequency domains, and to enable the student to formally analyse systems through the use of spectral analysis and correlations. The student will also be able to take account of the effects of sampling in the time and frequency domain and understand how these affect the practical analysis procedures. The students will be able to select the appropriate infinite or finite impulse response digital filter and undertake the design of the filter coefficients. The student should gain a familiarity with the derivation of the fast Fourier transform (FFT) algorithm and with its computational advantages. An appreciation of simple sample rate changes and their effect on the filter design process would also be expected.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites It is RECOMMENDED that students have passed Electronic Engineering 3 (ELEE09007)
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Discrete-Time Signal Analysis (PGEE11026)
Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesCourse(s) covering Fourier transforms, linear systems and probability
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2011/12 Semester 1, Available to all students (SV1) WebCT enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
King's BuildingsTutorialClassroom 10, Alrick Building1-11 09:00 - 09:50
King's BuildingsTutorialClassroom 1, Sanderson Building1-11 11:10 - 12:00
King's BuildingsLectureDaniel Rutherford LT11-11 09:00 - 09:50
King's BuildingsLectureDaniel Rutherford LT11-11 16:10 - 17:00
First Class Week 1, Wednesday, 09:00 - 09:50, Zone: King's Buildings. Classroom 10, Alrick Building
Exam Information
Exam Diet Paper Name Hours:Minutes
Main Exam Diet S1 (December)Digital Signal Analysis 41:30
Summary of Intended Learning Outcomes
After successful completion of this course a student should
be able to:
- explain the relationships between and be able to manipulate time domain and frequency domain representations of signals;
- apply correlation techniques to an analytic or numerical problem, and relate the outcome to the statistical properties of the signal source(s);
- correctly define probability and density functions and cumulative distribution functions, and be able to manipulate them to find moments of random variables and their sums;
- define the distinctions between wide-sense stationary, stationary, and ergodic processes, and be able to reason to which category a random process belongs;
- derive the power spectrum of a signal;
- define techniques for calculating moments in spectral and temporal domains;
- select an appropriate analogue prototype and use the bilinear transformation method to obtain an IIR digital filter design;
- identify possible problems that can arise in IIR implementation and devise solutions to avoid or minimise their effects;
- explain the importance of linear phase filter design and apply window techniques to design a FIR filter;
- evaluate power spectral density at the output of a linear filter given the PSD at the input and perform a spectral factorisation on the output of a simple linear filter;
- recall how the discrete Fourier transform arises and recognise the effect of resolution and windowing functions upon the discrete Fourier transform;
- derive the structure of the fast Fourier transform from the equation of the discrete Fourier transform and distinguish between decimation-in-time, decimation-in-frequency, radix-2 FFT;
- analyse the effects of downsampling and upsampling on a signal and recognise the importance of decimation and interpolation filtering.
Assessment Information
Assessment will be based on a single written paper of 90 minutes duration.
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
KeywordsNot entered
Contacts
Course organiserDr David Laurenson
Tel: (0131 6)50 5579
Email: Dave.Laurenson@ed.ac.uk
Course secretaryMrs Laura Smith
Tel: (0131 6)50 5690
Email: laura.smith@ed.ac.uk
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