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EEEN30050

Academic Year 2024/2025

Signal Processing: Theory and Applications (EEEN30050)

Subject:
Electronic & Electrical Eng
College:
Engineering & Architecture
School:
Electrical & Electronic Eng
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Assoc Professor Nam Tran
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module covers the theoretical basis of discrete-time signal processing (digital signal processing), and gives practical applications of DSP such as signal filtering, signal interpretation, and signal analysis. DSP is widely used in digital communications, digital media, and computational science and this course provides the framework for applications in electronic engineering, computer science, physics, geology and applied mathematics.

Specific topics covered include discrete Fourier transforms, fast Fourier transform, z-transforms, linear time invariant systems, digital filtering, and digital filter (FIR and IIR) design. A number of computer based assignments are given. Both Matlab and Python are used to demonstrate the theories.

About this Module

Learning Outcomes:

Please note that the codes given at the end of each Learning Outcome relate to the Programme Outcomes specified by Engineers Ireland for the professional accreditation of degree programmes.

On successful completion of this module a student should be able to:

. Calculate the necessary properties of a sampled signal to accurately represent information. [PO(A), 4]; [PO(B), 4]; [PO(C), 4]

. Demonstrate understanding of the links between analogue and digital transforms. [PO(A), 4]

. Derive efficient computational schemes for the Discrete Fourier Transform. [PO(A), 4]; [PO(B), 4]; [PO(C), 4]

. Use the z-transform to analyse discrete signals and systems. [PO(A), 4]; [PO(B), 4]

. Design digital filters to meet various types of specification. [PO(A), 4]; [PO(B), 4]

Indicative Module Content:

The following topics will be covered:

- Sampling theorem and signal reconstruction

- Development of Discrete Fourier Transform

- Fast Fourier Transform

- Discrete Convolution

- z-transform

- Digital systems

- FIR and IIR filter design

Student Effort Hours:
Student Effort Type Hours
Lectures

48

Specified Learning Activities

25

Autonomous Student Learning

50

Total

123


Approaches to Teaching and Learning:
- lectures, practicals, tutorials,

- lab work

- problem-based learning

Requirements, Exclusions and Recommendations
Learning Requirements:

Signals, Systems and Control (EEEN30010) or equivalent. This course is mathematically challenging, so a strong background in university honours level mathematics in the areas of linear algebra, calculus, and transforms is required.


Module Requisites and Incompatibles
Co-requisite:
EEEN30110 - Signals & Systems


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): End-of-trimester exam End of trimester
Duration:
2 hr(s)
Alternative linear conversion grade scale 40% No
50
No
Quizzes/Short Exercises: In-class midterm test Week 6 Alternative linear conversion grade scale 40% No
10
No
Assignment(Including Essay): Digital Filter Design Assignment Week 12 Graded No
20
No
Report(s): Lab 1 report Week 5 Graded No
10
No
Report(s): Lab 2 report Week 9 Graded No
10
No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Digital Signal Processing by Proakis and Manolakis
Discrete time Signal Processing by Oppenheim

Name Role
Assoc Professor Nam Tran Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33 Fri 11:00 - 12:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 24, 29, 32 Thurs 15:00 - 16:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 10:00 - 10:50