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Unit information: Digital Signal Processing Systems in 2014/15

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

Unit name Digital Signal Processing Systems
Unit code EENGM4100
Credit points 10
Level of study M/7
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Professor. Dahnoun
Open unit status Not open

Entry to MSc in CSSP



School/department Department of Electrical & Electronic Engineering
Faculty Faculty of Engineering

Description including Unit Aims

This module will familiarise the student with the range of tools and technologies available for the implementation of DSP algorithms for digital communication systems. The criteria which determine a choice of implementation technology will be examined. The student will be exposed to state-of-the-art Digital Signal Processors.

Digital Signal Processing Systems

Dr N. Dahnoun

  • ASIC/VLSI technology: full and semi-custom approaches, field programmable structures, DSP functions in silicon: multiplier-accumulators, FIR filters, correlators, growth of IP trading and design re-use.
  • DSP microprocessors: need for DSP processors, DSP market, parameters for choosing a DSP device, introduction to DSP processors (architectures, performance and limitations) and architecture of the TMS320C320C6000 DSPs (CPU, program/data memory, buses, peripherals, timers, serial ports, DMA and external memory interface)
  • Development tools: compiler, assembler and linear assembler, linker, code composer studio, real-time operating systems (SYS/BIOS)
  • Arithmetic for DSP: fixed and floating point; Finite word length effects: conversion, coefficient and signal quantisation.
  • Design and modelling tools and DSP platforms: Matlab, code composer studio, TMS320C6000 and the TMS320C5000 platforms.
  • Design study: real-time applications with the TMS320 series.

Intended Learning Outcomes

The student will be able to:

  • Develop DSP programs
  • Implement real-time DSP algorithms for mainly communications applications,
  • Study DSP device architectures and interface to DSP microprocessors.
  • Understand general purpose processors and be able to compare them with Digital Signal processors.

Teaching Information

Combination of lectures and laboratory sessions

Assessment Information

  • Labwork 50 % Reports
  • Terminal Exam 50% 2 hour written paper

Reading and References

  • Chassaing, R., DSP Applications using C and the TMS320C6x DSK, J. Wiley, ISBN 0-471-20754-3
  • Dahnoun, N., Digital Signal Processing Implementation using the TMS320C6000 Platform, Prentice Hall – Pearson Education Ltd, ISBN 0/201/61916/4