Digital Signal Processing

The details
Computer Science and Electronic Engineering (School of)
Colchester Campus
Undergraduate: Level 6
Thursday 03 October 2024
Friday 13 December 2024
16 May 2024


Requisites for this module



Key module for

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)

Module description

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 relationship to different types of digital filter.

Module aims

The aim of this module is:

  • To provide students with an understanding of the fundamental principles of signal and image processing and their manipulation.

Module learning outcomes

By the end of this module, students will be expected to:

  1. Analyse digital signals to develop a thorough and comparative understanding of the fundamental concepts and theories in DSP.

  2. Understand and evaluate the concepts of Fourier transform and spectral estimation, essential to solve problems, and comment on research and scholarship in digital signal processing, while appreciating the uncertainty, ambiguity, and limits of knowledge.

  3. Understand and apply the Z-transform effectively in digital filter design, deploying established techniques accurately within digital signal processing.

  4. Describe and apply various types of digital filters, including the ability to comprehend and communicate information, ideas, problems, and solutions effectively.

  5. Implement a range of digital signal processing methods tailored for specific applications, demonstrating the ability to apply and evaluate methods effectively within the domain of digital signal processing.

Module information

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

Learning and teaching methods

This module will be delivered via:

  • 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   Digital Signal Processing in Matlab & Report    50% 
Practical   Progress Test (In person, MCQ Moodle Test, Closed Book)     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

Coursework Exam
30% 70%


Coursework Exam
30% 70%
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



External examiner

Dr Shadan Khan Khattak
Cardiff Metropolitan University
Senior Lecturer
Available via Moodle
Of 28 hours, 18 (64.3%) hours available to students:
10 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).


Further information

* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

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