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Study information

Digital Signal Processing - 2019 entry

MODULE TITLEDigital Signal Processing CREDIT VALUE15
MODULE CODEECM3165 MODULE CONVENERProf C. David Wright (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11 weeks 0 0
Number of Students Taking Module (anticipated) 19
DESCRIPTION - summary of the module content

In our technologically-oriented world we need to process, interrogate and manipulate ever-increasing amounts of data from a wide variety of sources - such as video, audio and text, information databases, sensors and measurement systems, manufacturing equipment and robotic systems etc. Today, such signal processing is invariably carried out using digital techniques, and so digital signal processing (DSP) has become an invaluable and integral part of a wide variety of fields, ranging from consumer electronics to medicine to space exploration. In this module you learn about the theory that lies behind the enormous popularity and power of DSP, as well as learning how to design and implement real-world DSP systems.

Pre-requisite modules: ECM1102; ECM1106; ECM2115; ECM2118, or equivalent

AIMS - intentions of the module

This module introduces you to the fundamental principles of digital signal processing, from both theoretical and practical viewpoints. You will get the chance to design digital signal processing systems for a range of important application areas, and to develop experimental digital signal processing techniques and applications in both software and hardware.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

This is a constituent module of one or more degree programmes accredited by a professional engineering institution under licence from the Engineering Council. The learning outcomes for this module have been mapped to the output standards required for an accredited programme, as listed in the current version of the Engineering Council’s ‘Accreditation of Higher Education Programmes’ document (AHEP-V3).

This module contributes to learning outcomes: SM1p, SM2m, EA1p-EA3p, EA1m-EA3m, D2p, D2m, D3p, D3m, EP1p, EP1m, EP2p, EP2m, EP4p, EP4m, EP9p, EP11m, G1p, G1m

A full list of the referenced outcomes is provided online: https://intranet.exeter.ac.uk/emps/studentinfo/subjects/engineering/accreditation/

The AHEP document can be viewed in full on the Engineering Council’s website, at: http://www.engc.org.uk/

On successful completion of this module, you should be able to:

Module Specific Skills and Knowledge:

1 Understand the theory of digital signal processing;

2 Comprehend DSP systems-level and device-level implementation;

3 Appreciate the application areas for DSP algorithms, devices and systems;

4 Develop software and hardware approaches for the design and implementation of DSP systems;

Discipline Specific Skills and Knowledge:

5 Illustrate specific practical electronic laboratory skills in the area of DSP;

6 Exhibit sufficient knowledge of DSP theory to enable the design of simple DSP systems at the block-diagram and algorithmic level;

7 Recognise the application areas and implementation routes of DSP;

Personal and Key Transferable/ Employment Skills and Knowledge:

8 Demonstrate enhanced problem solving skills;

9 Show enhanced independent study skills;

10 Prove enhanced group working skills.

SYLLABUS PLAN - summary of the structure and academic content of the module

- DSP application areas;

- Review of discrete time signals and systems;

- Review of sampling theory;

- Discrete time linear difference equation;

- Z-transform theory;

- Systems in the z-domain;

- Systems in the discrete frequency domain;

- The fast Fourier transform and the DFT;

- Non-recursive and FIR digital filter design;

- Recursive and IIR digital filter design;

- Practical digital filter design and implementation.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 45 Guided Independent Study 105 Placement / Study Abroad 0
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled Learning and Teaching Activities 22 Lectures
Scheduled Learning and Teaching Activities 11 Tutorials
Scheduled Learning and Teaching Activities 12 Laboratories
Guided Independent Study 105 Independent reading of course texts

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Not Applicable      
       
       
       
       

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 40 Written Exams 60 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Written Exam – Closed Book 60 2 hours - January Exam 1-4, 6-8 Exam Mark
TMA1 - DSP Problem Sheet 1 10 4 hours 1-4, 6-9 Marked, annotated scripts
TMA2 - DSP Problem Sheet 2 10 4 hours 1-4, 6-9 Marked, annotated scripts
Digital Filter Design, using MATLAB 10 4 hours 1-4, 6-10 Marked, annotated scripts
Digital Filter Implementation Laboratory 10 4 hours All Marked, annotated scripts

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-reassessment
All Above Written Exam (100%) All August Ref/Def Period
       
       

 

RE-ASSESSMENT NOTES

If a module is normally assessed entirely by coursework, all referred/deferred assessments will normally be by assignment.

If a module is normally assessed by examination or examination plus coursework, referred and deferred assessment will normally be by examination. For referrals, only the examination will count, a mark of 40% being awarded if the examination is passed. For deferrals, candidates will be awarded the higher of the deferred examination mark or the deferred examination mark combined with the original coursework mark.

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

ELE: http://vle.exeter.ac.uk

Web-Based and Electronic Resources:

Smith, S.W., (1997), The Scientist and Engineer's Guide to Digital Signal Processing (www.dspguide.com)

Reading list for this module:

Type Author Title Edition Publisher Year ISBN
Set Lyons, R.G. Understanding Digital Signal Processing 3rd Prentice Hall 2011 978-0-13-211937-5
Set Smith, S.W. The Scientist and Engineer's Guide to Digital Signal Processing California Technical Publishing 1997
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES ECM1102, ECM1106, ECM2115, ECM2118
CO-REQUISITE MODULES
NQF LEVEL (FHEQ) 3 (NQF level 6) AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Tuesday 10th July 2018 LAST REVISION DATE Thursday 29th August 2019
KEY WORDS SEARCH Digital Signal Processing; Digital Filters; FPGAs; Audio and Video Processing

Please note that all modules are subject to change, please get in touch if you have any questions about this module.