Digital Signal Processing Applications

Please note

This document only provides information for the academic year selected and does not form part of the student contract

School:

School of Computing and Engineering

Credit Rating:

Level (including FHEQ):

H (FHEQ Level 6)

Graded or Non Graded:

Graded

Version Valid From:

2023-09-25

Module Leader:

Len Gelman

Version Number

2023.01

Learning Methods

Guided Independent Study

Lecture

Tutorial and Project Supervision

Practical Classes and Demonstrations

Requirements

Recommended Prior Study

Professional Body Requirements

Institution of Engineering and Technology

Synopsis

The module combines the theory of signal processing and analysis of discrete time systems, with practical aspects of digital signal processing (DSP) applied to the design of digital filters. We will focus on signal processing operations and analysis in time and frequency domain and digital filter (FIR and IIR) design and simulation using MATLAB. You’ll be supported in implementing your digital filter design using DSP software and hardware development systems. A range of DSP design case studies (for example audio filters and two-dimensional filters for image processing), will be used to illustrate typical DSP applications through practical laboratory work.

Learning Strategy

In this module the learners will engage in a blend of delivery methods facilitating both individual and collaborative aspects of learning to achieve the specified learning outcomes. In particular, this will require the learner to engage with the VLE materials where the learning is supported by the tutor-led two-way asynchronous discussion board. To focus the guided learning process, the tutor will set weekly quizzes/assignments (SAIL). These two elements will culminate in face-to-face sessions which will reinforce the learning by clarifying the content through student-led questions/answers interaction. These sessions are followed up by tutorials to illustrate the module content and enable practice in more depth. The subject material will be presented in lectures supported by tutorials and laboratory-based sessions. This will allow the development of understanding and the enhancement of practical skills, whilst providing a mechanism for on-going formative assessment. The assignment work is based on timetabled laboratory sessions, giving the opportunity for feedback as the work progresses. C&IT plays a major role in the form of teaching and learning support and for computer simulation and the analysis of realistic data. The module will make use of C&IT in the design and assignment work. Internet access for research papers, data sheets, design notes and application data will supplement the module content and assignment work. The VLE is used to support and supplement both the lectures and laboratory work. The module is supported by the use of BrightSpace VLE including course documentation, pre-recorded lectures, external links, communication/discussion and self-assessment facilities. Students with disability will be accommodated by close adherence to the University of Huddersfield guidelines which inter alia include: (i) pre-recorded materials with captions of suitable size, (ii) Power Point slides following the appropriate font size and colour contrast, (iii) early availability of all materials on VLE – typically at least two weeks in advance.

Outline Syllabus

Signal processing operations: sampling, aliasing, signal reconstruction, quantisation.
Time-domain processing: correlation, discrete-time convolution.
Frequency-domain analysis: discrete Fourier transforms, resolution, spectral leakage, windowing.
FIR filters: linear phase, symmetric and antisymmetric impulse response and frequency sampling methods; use of windowing, effects of quantisation and finite word length.
IIR filters: approximation methods, differences, impulse invariance and bilinear z-transformation; the pole placement design method.
Filter design, simulation and evaluation.
Case study of DSP hardware architecture.
High-level programming language (HLL) software development for DSP and use of a DSP development system.
DSP design case studies: e.g. audio filters, two dimensional filters, adaptive filters.

Learning Outcomes

On successful completion of this module students will

Examine, compare and evaluate the mathematical methods used to design and analyse digital signal processing systems and solve theoretical digital filter design problems.

Understand the operation of DSP systems and aspects associated with their performance.

Design and evaluate digital filters using a CAE package.

Solve practical digital filter design problems through the development of hardware/software solutions.

Assess the performance of DSP systems, through practical tests and critical evaluation.

Formative Assessment

Assessment 1: Quizzes / polls

Assessment 2: Written practice exercise

Assessment 3: Practice exam/test

Assessment 4: Oral presentation/assessment

Summative Assessment

Assessment 1: Written Assignment

Description:Taught material will contribute an element every week to the SAIL programme (Score As I Learn) submitted via the VLE platform. 11 x 15 minutes weekly assignments. Each assignment will be worth 3%. Taking the best 8 out of 11 scores

Assessment Weight:24

Assessment Length:10 Hours (Typical Effort)

Module Learning Outcomes:MLO1, MLO2, MLO3, MLO4, MLO5

Individual or Group:Individual

Final Assessment Component:No

Marked Anonymously:Yes

Eligible for Tutor Reassessment:No

Assessment 2: Written Assignment

Assessment 3: In-Class Test

Assessment Criteria

Task 1
SAIL
Task 2
2.1 Discussion of the mathematical methods used to design and analyse digital signal processing systems.
2.2 Explanation of the operation of DSP systems and aspects associated with their performance.
2.3 Solving the theoretical digital filter design problems with the aid of appropriate mathematical methods.
Task 3
3.1 Quality of the system specification developed to meet the needs of the application.
3.2 Choice and application of a theoretical design method for the application.
3.3 Ability to use and draw conclusions from a CAE-based evaluation process.
3.4 Implementation of a practical design on a DSP development system, and evaluating the resulting design practically.
3.5 Ability to develop an informative report for the project, including critical evaluation of the solution.

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