- UCAS course code
- HHP3
- UCAS institution code
- M20
MEng Mechatronic Engineering with Industrial Experience
Year of entry: 2024
- View tabs
- View full page
Course unit details:
Digital Signal Processing
Unit code | EEEN30201 |
---|---|
Credit rating | 10 |
Unit level | Level 3 |
Teaching period(s) | Semester 2 |
Available as a free choice unit? | No |
Overview
This unit will cover the following:
Introduction to DSP and linear systems.
Convolution and correlation. Using impulse function to represent discrete signals; description of convolution using linear superposition; Fourier interpretation of convolution; simple filtering using convolution; auto-correlation and cross-correlation; cross-correlation, matched filters and signal-to-noise ratio enhancement; temporal smearing and pseudo random bit sequences.
Fourier analysis. The continuous trigonometric Fourier series for periodic signals; data representation and graphing; the continuous trigonometric Fourier series for aperiodic signals; observations on the continuous Fourier series; exponential representation of the Fourier series; the continuous Fourier transform; discrete Fourier analysis; introduction to the fast Fourier transform.
Discrete Fourier properties and processing. Window functions; spectral leakage; representation of spectral data; considerations of phase; key properties of the discrete Fourier transform; discrete Fourier transform signal processing.
The Laplace transform. Its use in differential equation; the s-plane; circuit analysis; analogue filter design.
The z-transform and digital filter design. Definitions and properties; digital filters, diagrams and the z transfer function; filter design using pole-zero placement; FIR and IIR filters: merits and disadvantages.
Signal sampling. The process of sampling; signal digitisation; principles of analogue to digital and digital to analogue conversion; ADCs and DACs in system.
Design of FIR filters. The window method; phase linearity; the frequency sampling method; software for arbitrary FIR design; inverse filtering and signal reconstruction.
Design of IIR filters. The bilinear z-transform; the BZT and 2nd order passive systems; digital Butterworth and Chebyshev IIR filters; pole-zero placement revisited; biquad algorithm design strategies; FIR expression of IIR responses.
Adaptive filters. Brief theory of adaptive FIR filters; the least mean square (LMS) adaptive FIR algorithm; use of the adaptive filter in system modelling; delayed (single) input adaptive LMS filters for noise removal; the true (dual input) adaptive LMS filter.
Real time DSP: the DSP563xx design. System architecture; assembly code programming; real time system design; peripheral interfacing; FIR, IIR and adaptive filters in real time.
DSP in audio applications: reverberation, equalization and string synthesis.
Pre/co-requisites
Unit title | Unit code | Requirement type | Description |
---|---|---|---|
Signals and Systems | EEEN20131 | Pre-Requisite | Compulsory |
Aims
The course unit aims to:
- Provide a thorough and complete introduction to the subject of modern digital signal processing;
- Emphasise the links between the theoretical foundations of the subject and the essentially practical nature of its realisation;
- Encourage and understand through the use of algorithms and real world examples;
- Provide useful skills through detailed practical laboratories, which explore both off-line and real-time DSP software and hardware
Learning outcomes
On the successful completion of the course, students will be able to:
ILO 1 Demonstrate a mastery and detailed knowledge of the founding principles of DSP, and understand how the various fundamental equations both operate and are constructed.
ILO 2 Recognise the different classes of problem in digital signal processing, and to decide upon appropriate methodologies in their solution.
ILO 3 Code and test off-line and real-time DSP algorithms, both using PCs and dedicated DSP hardware.
ILO 4 Design, from system level, a complete DSP engineering solution (hardware and software specification) intended for real-time use.
ILO 5 Use an Eclipse-based development and debugging framework.
The above ILOs are developed and assessed.
Teaching and learning methods
Lectures; laboratories; interactive PDF notes that include fully developed software, clickable audio notes and audio examples.
Assessment methods
Method | Weight |
---|---|
Other | 20% |
Written exam | 80% |
Coursework (20% of total unit assessment):
Laboratory in real-time DSP. This comprises six programming tasks (team based) and one design report (individual)
Feedback methods
.
Recommended reading
Digital Signal Processing: A Practical Approach, Emmanuel C. Ifeachor and B Jervis
Foundations of Digital Signal Processing: Theory, algorithms and hardware design, Patrick Gaydecki
Study hours
Scheduled activity hours | |
---|---|
Lectures | 20 |
Practical classes & workshops | 9 |
Tutorials | 4 |
Independent study hours | |
---|---|
Independent study | 67 |
Teaching staff
Staff member | Role |
---|---|
Patrick Gaydecki | Unit coordinator |