CE335-6-AU-CO:
Digital Signal Processing
2023/24
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Undergraduate: Level 6
Current
Thursday 05 October 2023
Friday 15 December 2023
15
17 June 2022
Requisites for this module
(none)
(none)
(none)
(none)
(none)
BSC H60E Electronic System Engineering,
BSC H60ECO Electronic System Engineering,
BENGH641 Communications Engineering,
BENGHP41 Communications Engineering (Including Foundation Year),
BENGHPK1 Communications Engineering (Including Placement Year),
BENGHQ41 Communications Engineering (Including Year Abroad),
BENGH169 Neural Engineering with Psychology,
BENGH170 Neural Engineering with Psychology (including Placement Year),
BENGH171 Neural Engineering with Psychology (including Year Abroad),
BENGH172 Neural Engineering with Psychology (Including Foundation Year),
BSC H167 Neural Technology with Psychology,
BSC H168 Neural Technology with Psychology (including Year Abroad),
BSC H176 Neural Technology with Psychology (including Placement Year)
This module will provide an understanding of the fundamental principles of signal and image processing. Concepts will be applied to digital signals and the spectral information studied including the Fourier transform, the Z-transform and their relatonship to different types of digital filter.
The aim of this module is to provide students with an understanding of the fundamental principles of signal and image processing and their manipulation.
After completing this module, students will be expected to be able to:
1. understand the fundamental concepts related to digital signals
2. understand Fourier transform and spectral estimation
3. understand Z-transform and apply it in digital filter design
4. describe different types of digital filters
5. implement typical digital signal processing methods for specific applications
Outline Syllabus
-Introduction to signal analysis
-Discrete-time signals and systems
-Signal conditioning
-Fourier analysis and spectral estimation
-Digital filtering basics
-Z-transform
-Transfer function
-FIR and IIR digital filter structures
-Digital filter design
-Signal processing applications
Lectures and laboratories
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Assignment 1 |
|
50% |
| Practical |
Progress Test |
|
50% |
| Exam |
Main exam: In-Person, Open Book (Restricted), 120 minutes during Early Exams
|
| Exam |
Reassessment Main exam: In-Person, Open Book (Restricted), 120 minutes during September (Reassessment Period)
|
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Dr Sefki Kolozali, email: sefki.kolozali@essex.ac.uk.
Dr Sefki Kolozali
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
Yes
No
No
Dr Shadan Khan Khattak
Cardiff Metropolitan University
Senior Lecturer
Available via Moodle
Of 25 hours, 16 (64%) hours available to students:
8 hours not recorded due to service coverage or fault;
1 hours not recorded due to opt-out by lecturer(s), module, or event type.
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