Digital Signal Processing - 2023 entry

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.

Prerequisite module: ECM1102, ECM1106, ECM2115, ECM2118 or equivalent
 

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 applications using the XiLinx FPGA devices.

This is a constituent module of one or more degree programmes which are 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: http://intranet.exeter.ac.uk/emps/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 simple application routines for the XiLinx FPGA devices.
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.

- 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.

Reassessment will be by a single written exam only worth 100% of the module. For deferred candidates, the mark will be uncapped. For referred candidates, the mark will be capped at 40%.

ELE – http://vle.exeter.ac.uk

Web based and electronic resources: The scientist's and engineer's guide to digital signal processing (www.dspguide.com)

Other resources: Xilinx FPGA guide (http://www.xilinx.com/company/gettingstarted)

Reading list for this module: