Module title: Digital Signal Processing

SCQF level: 11:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: ELE11501
Module leader: Luigi La Spada
School School of Engineering and the Built Environment
Subject area group: Electronics Electrical and Mathematics
Prerequisites

none

2019/0, Trimester 1, FACE-TO-FACE,
Occurrence: 001
Primary mode of delivery: FACE-TO-FACE
Location of delivery: MERCHISTON
Partner:
Member of staff responsible for delivering module: David Binnie
Module Organiser:


Learning, Teaching and Assessment (LTA) Approach:
All LOs involve lecture, tutorial, practical laboratory and directed study and independent self-study. The module is delivered with the emphasis on practical aspects and applications. The students are provided with typed lecture notes and tutorials and encouraged to use the library and other available resources. Most up-to-date equipment and software packages available in industry are used to deliver the module. The students are encouraged to work both as individuals using their own initiatives and also as part of a team. Extensive technical literature is available, textbooks and published research papers, which can be used both for teaching and the students self-learning. Copies of numerous textbooks are available in Edinburgh Napier University Libraries. The students will be provided with the list of the most advanced and appropriate text books available on the subject. Tutorial sessions are divided into general class room tutorial sessions and laboratory based (MATLAB/SIMULINK) tutorial sessions. The assignment for this module is based on a real practical application and involves the design and simulation of a signal-processing system and formal report writing (LO1, 3 & 4). The critical analysis of the results is one of the main requirements. The combination of lectures, class room tutorial sessions, laboratory tutorial sessions and an assignment based on a practical application will ensure that the students have the opportunity to attain all of the learning outcomes.

Formative Assessment:
The University is currently undertaking work to improve the quality of information provided on methods of assessment and feedback. Please refer to the section on Learning and Teaching Approaches above for further information about this module’s learning, teaching and assessment practices, including formative and summative approaches.

Summative Assessment:
The University is currently undertaking work to improve the quality of information provided on methods of assessment and feedback. Please refer to the section on Learning and Teaching Approaches above for further information about this module’s learning, teaching and assessment practices, including formative and summative approaches.

Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 12
Face To Face Tutorial 36
Independent Learning Guided independent study 150
Face To Face Centrally Time Tabled Examination 2
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Report 50 1,3,4 13 HOURS= 0, WORDS= 3000
Centrally Time Tabled Digital Examination 50 2,3,4 14/15 HOURS= 2, WORDS= 0
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100

Description of module content:

In this module you will study a range of concepts, methods, standards and technologies including:
Fundamental aspects of digital signal processing: digital filters, FFTs, design, implementation, hardware/software tools and applications.
FIR and IIR filter design and implementation. Advanced digital signal processing: adaptive signal processing, multirate digital signal processing, wavelet transforms and applications.

Learning Outcomes for module:

LO1: use software and hardware tools to implement digital signal processing techniques;
LO2: perform finite word length effects analysis of digital signal processing techniques;
LO3: design, implement and apply digital filters and FFTs;
LO4: design and apply adaptive filters;

Indicative References and Reading List - URL:
Contact your module leader