Run by School of Computer Science and Electronic Engineering
10 Credits or 5 ECTS Credits
Organiser: Dr Iestyn Pierce
Overall aims and purpose
To introduce the concepts of digital signal processing. To enable students to analyse and design simple digital processing systems.
• Time and frequency response of linear systems, Z-transform; Continuous and discrete signals; Sampling theory; Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT); Digital Signal Processing (DSP) theory and systems; FIR and IIR filters; Deterministic and stochastic signals; Classical spectral estimation; Analogue to Digital Conversion.
• Limitations of FIR and IIR filter design methods; Effects of finite word length and sampling on DSP systems; Effect of windowing and averaging on spectral estimation.
• Design methods for FIR and IIR filters; Design of spectral estimation systems.
Learning outcomes mapped to assessment criteria
Know and understand the characteristics and mathematical basis of a digital signal processing system, and how the characteristics relate to analogue input signals, such as from transducers, and to equivalent analogue systems.
|Has basic knowledge and understanding of: the essential characteristics of a DSP system, digital signals and their relationship to analogue signals, the relationship between DSP and analogue systems.||Has knowledge and understanding of most of the material covered. In addition to the threshold requirements understands the implications of the theoretical background||In-depth understanding of all areas covered. Can evaluate results and derivations sensibly.|
Understand the main limitations and sources of error in digital signal processing systems and methods of minimising their effect.
|Has a basic understanding of the limitations and sources of error in a DSP system and methods of minimising their effect in simple systems||Understands most of the limitations and sources of error in a DSP system and methods of minimising their effects in higher order systems||In-depth understanding of all areas covered. Evaluates designs for correctness and fitness for purpose|
Carry out systematic analysis and design of example digital signal processing systems.
|Able to analyse and design simple (first order) filters and basic spectral estimators.||Able to analyse and design simple (first order) systems and most aspects of higher order systems and more complex spectral estimators.||Able to analyse unseen systems and design high order systems to unseen specifications|
Final exam for the module
|COURSEWORK||Signals and systems assignment||
A series of questions to help students learn the important concepts around signals and systems for signal processing.
Teaching and Learning Strategy
2 x 1 hour lectures per week for 12 weeks.
Worked examples, tutorial problems, and revision.
- Literacy - Proficiency in reading and writing through a variety of media
- Numeracy - Proficiency in using numbers at appropriate levels of accuracy
- Computer Literacy - Proficiency in using a varied range of computer software
- Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
- Exploring - Able to investigate, research and consider alternatives
- Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
- Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
- Self-awareness & Reflectivity - Having an awareness of your own strengths, weaknesses, aims and objectives. Able to regularly review, evaluate and reflect upon the performance of yourself and others
Subject specific skills
- Identify emerging technologies and technology trends;
- Apply underpinning concepts and ideas of engineering;
- Formulate and analyse requirements and practical constraints of products, processes and services, place them in an engineering context and manage their implementation;
- Solve problems logically and systematically;
- Assess and choose optimal methods and approaches for the specification, design, implementation and evaluation of engineering solutions.
- Access and synthesize information and literature sources;
- Analyse and display data using appropriate methods and mathematical techniques;
Courses including this module
Compulsory in courses:
- W3H6: BA Music and Electronic Engineering year 3 (BA/MEE)
- H612: BEng Computer Systs Eng (3 yrs) year 3 (BENG/CSE)
- H61B: BEng Computer Sys Engineering (4yr with Incorp Foundation) year 3 (BENG/CSE1)
- H610: BENG Electronic Engineering (3 yrs) year 3 (BENG/ELE)
- H62B: BEng Electronic Engineering (4yr with Incorp Foundation) year 3 (BENG/ELE1)
- H61F: BEng Electronic Engineering year 3 (BENG/ELEF)
- H621: BEng Electronic Engineering with International Experience year 4 (BENG/ELEIE)
- H64B: BSc Computer Sys Engineering (4yr with Incorp Foundation) year 3 (BSC/CSE1)
- H603: BSc Computer Systems Engineering year 3 (BSC/CSENG)
- H611: BSc Electronic Engineering year 3 (BSC/ELE)
- H63B: BSc Electronic Engineering (4yr with Incorp Foundation) year 3 (BSC/ELE1)
- H661: MEng Control and Instrumentation Engineering year 3 (MENG/CIE)
- H617: MEng Computer Systs Eng (4 yrs) year 3 (MENG/CSE)
- H601: MEng Electronic Engineering (4 yrs) year 3 (MENG/EE)
- H618: MEng Electronic Engineering with International Experience year 4 (MENG/EEIE)