Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: EEE336
Module Title: Signal Processing and Digital Filtering
Module Level: Level 3
Module Credits: 5.00
Academic Year: 2018/19
Semester: SEM2
Originating Department: Electrical and Electronic Engineering
Pre-requisites: EEE203ANDEEE204EEE203
   
Aims
The aims of the module are:

To develop basic framework for signal processing and demonstrate some applications.

To provide students with a good understanding of the types and behaviours of different digital filters.

Learning outcomes 
A. Understand the concepts of analogue and digital signals, and the conversion between them by using sampling, quantization and reconstruction; appreciate the effects and procedure of quantization.

B. Understand the Fourier transforms and z-transform, and apply them to discrete-time system analyses and design.

C. Understand linear time-invariant circuits and systems, both analogue and discrete time (including digital signal processing systems) and then apply these concepts to the analysis, design and implementation of various types of signals and systems.

D. Understand the concepts of FIR and IIR filters, and be able to analyse and design them using z-transform.

E. Design FIR digital filters using the window (Fourier series) technique, and design IIR digital filters using pole/zero placement, the bilinear transform or other techniques.

F. Determine the most appropriate sampling and filtering methodology according to application.

G. Understand basic signal processing framework and applications; have the mathematical knowledge to understand the behaviour of linear time invariant digital systems; explain the behaviour of digital filters in terms of mathematical concepts.






Method of teaching and learning 

This module will be delivered by a combination of formal lectures, problem classes, class demonstrations, and case studies.

Syllabus 
Chapter 1 Introduction to Signal Processing

Including the basic concept and popular applications of analogue and digital signal processing.


Chapter 2 Sampling, quantisation and FFT

Basic principles of sampling and sampling theorem

Basic principles of quantisation and the effects of quantisation

Discrete Fourier transform and Fast Fourier transform


Chapter 3 Review and application of the z-transform to discrete time LTI systems

System function, H(z), established from first principles as z-transform of impulse response. Rational form of H(z). Poles and zeros. Proof that poles must lie inside unit circle for causality and stability.

Stability analysis


Chapter 4 Structure and Design of the Digital Filters

Introduction of digital signal filter

Digital filter design process


Digital filter characterisation

Basic structure of nonrecursive digital filters

Basic structure of recursive digital filter

Signal separation and enhancement


Chapter 5 Revision and further study of the basic concepts of linear time-invariance as applied to analogue and discrete time (digital signal processing) circuits and systems.

Concepts of impulse response, convolution, frequency response, casusality, stability and linear phase.
The system function of an analogue LTI system and its poles and zeros. Butterworth gain approximation.
Revision of simple design techniques for passive and active analogue filters and FIR type digital filters.


Chapter 6 IIR digital filter design methods

Design of digital IIR filters by pole/zero placement. Implementation by special purpose DSP microprocessors.
Bilinear transformation method of designing IIR digital filters. Effect of frequency warping.
Consideration of finite word length effects.

Survey for alternative techniques.


Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 39    13  3    98  150 

Assessment

Sequence Method % of Final Mark
1 Report 15.00
2 Final Exam 85.00

Module Catalogue generated from SITS CUT-OFF: 5/22/2018 9:58:19 PM