AVÊÓƵ

School of Engineering and Informatics (for staff and students)

Digital Signal Processing Laboratory (868H1)

Digital Signal Processing Laboratory

Module 868H1

Module details for 2022/23.

15 credits

FHEQ Level 7 (Masters)

Pre-Requisite

Advanced Digital Signal Processing

Module Outline

The module will introduce students to programming digital signal processors to perform digital filtering of signals in one or two dimensions. The student will learn to use the appropriate toolchain in order to code, compile, execute and debug their own software running on a modern ARM DSP core. They will implement FIR and IIR filters on one dimensional signals and frame based processing of two dimensional signals such as images.

AHEP4 Learning Outcomes
M1, M2, M3, M6, M12

Module learning outcomes

Design and implement executable programs on a DSP/ARM processor using the appropriate toolchain

Implement and evaluate critically sample based digital filters

Implement and evaluate critically frame based digital filters

Analyse the performance of a DSP systems and evaluate the appropriateness for use in a given application

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
ReportA2 Week 1 100.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterLaboratory3 hours11111111110

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Phil Birch

Assess convenor
/profiles/97416

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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, AVÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

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