CE294-5-SP-CO:
Introduction to Digital Signal Processing
2024/25
Computer Science and Electronic Engineering (School of)
Colchester Campus
Spring
Undergraduate: Level 5
Current
Monday 13 January 2025
Friday 21 March 2025
15
27 June 2024
Requisites for this module
CE141 or CE142
(none)
(none)
(none)
(none)
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 introduces fundamental concepts of digital signal processing and their applications in the analysis of biomedical signals. It describes how signals can be represented as digital waveforms, explores the application of digital filtering techniques to enhance noisy signals, and looks at analysis of signals in both the time and frequency domains.
Additionally, the module explores the extraction of biomedical signal characteristics for classification tasks. The module is designed to teach Digital Signal Processing to students without prior knowledge of calculus or Fourier analysis. However, students should have an introductory mathematics course to prepare them for this module, such as Mathematics for Computing.
The aim of this module is:
- To provide students with an understanding of the fundamental principles of signal acquisition, signal processing, and signal classification using biomedical signals as basis.
By the end of this module, students will be expected to be able to:
- Apply the fundamental concepts of digital signals to real-world systems
- Specify and design digital filters to solve engineering problems
- Analyse signals in both time and frequency domain representations
- Perform basic feature extraction and classification of signals
Indicative syllabus
Introduction to digital signal processing
Fundamentals of digital signal filtering
Frequency transformation and spectral analysis of signals
Applications of digital signal processing in medical applications
Feature extraction from biomedical signals
Basic machine learning techniques for classification of biomedical signals
Metrics for evaluating diagnostic test performance
This module will be delivered via:
- One 2-hour lecture per week (10 weeks of Term)
- One 2-hour laboratory per week (10 weeks of Term)
- Two 1-hour revision lectures in Summer Term
This module does not appear to have any essential texts. To see non - essential items, please refer to the module's
reading list.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Progress Test (In person, closed book, invigilated Moodle Test) |
|
50% |
| Coursework |
Report on Signal Processing |
18/03/2025 |
50% |
| Exam |
Main exam: In-Person, Open Book (Restricted), 120 minutes during Summer (Main Period)
|
| 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 Roneel Sharan, email: roneel.sharan@essex.ac.uk.
Dr Roneel Sharan
csee-schooloffice@essex.ac.uk
Yes
No
Yes
No external examiner information available for this module.
Available via Moodle
Of 6 hours, 4 (66.7%) hours available to students:
2 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.
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