Module Title:Signal Processing
Language of Instruction:English
Credits: 5
NFQ Level:7
Module Delivered In 2 programme(s)
Teaching & Learning Strategies: This module will be delivered through lectures and laboratory assignments.
Module Aim: To introduce the student to signal processing techniques and applications
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Understand and analyse signals.
LO2 Specify signal processing requirements.
LO3 Apply signal processing techniques.
LO4 Design simple digital filters.
LO5 Use software packages for the purposes of digital filter design.
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
Mathematics 1 & 2 or equivalent
 

Module Content & Assessment

Indicative Content
A. Introduction
Overview of signal processing Analog and digital
B. Signals and Frquency Content
Power Energy Averaging Phasors Frequency content of signals Audio signals and other examples
C. Signal Conversions
Signal converters including ADC and DAC Applications Resolution The Sampling Theorem
I. Signal Processes
Over view of signal processing applications Real time Non real time
E. Difference Equations
Recursive and non recursive equations
D. Discrete Time Systems
Sampled signals Processor selection The design cycle
F. Continuous Time Systems
Time and frequency specifications
H. The z-transform
Definition of z transform Application to time sequences Transfer functions Poles and zeros Inverse transform
G. Linear Filtering
Design of filters Difference equations
J. Differentiation, Prediction & Integration
Methods Applications Accuracy
K. Complex Signals
Applications of complex signals
L. Spectral Analysis and the Discrete Transform
Spectrum of a signal Fourier transforms
Assessment Breakdown%
Continuous Assessment20.00%
Practical20.00%
End of Module Formal Examination60.00%
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Examination This will consist of a mid-year examination. 1,2,3,4,5 20.00 n/a
No Project
Practical
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation A program of experiments will be carried out based on material covered on the course.. Assignments will be given to the students on aspects of signal processing during the course. A short report will be written and submitted for marking. 1,2,3,4,5 20.00 n/a
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam The students are required to take a written examination at the end of the year. 1,2,3,4,5 60.00 End-of-Semester

ITCarlow reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Lecture Every Week 1.00
Practicals Every Week 2.00
Estimated Learner Hours Every Week 2.00
Total Hours 5.00
 

Module Delivered In

Programme Code Programme Semester Delivery
CW_EESYS_B Bachelor of Engineering (Honours) in Electronic Systems 5 Mandatory
CW_EEEEN_D Bachelor of Engineering in Electronic Engineering 5 Mandatory