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School of Engineering and Informatics (for staff and students)

Digital Signal Processing (H7138Z)

Digital Signal Processing

Module H7138Z

Module details for 2025/26.

15 credits

FHEQ Level 5

Module Outline

This module deals with the processing of digital signals and digital systems. The topics include sampling requirements and relationships between the input and output for linear digital systems in time, frequency and z-domains. It will also include the design of non-recursive and recursive filters, conducting discrete Fourier transform algorithm and fast Fourier algorithm, and use of software tool to process digital signals and digital systems.

Module learning outcomes

Represent basic digital signals, sampling requirement and relationships between the input and output for linear digital systems in time, frequency and z-domains

Know how to design non-recursive and recursive filters

Understand discrete Fourier transform algorithm and to use for analysing signals

Use software tool to process digital signals and analyse digital systems

TypeTimingWeighting
Coursework20.00%
Coursework components. Weighted as shown below.
ReportVACATION Week 2 50.00%
ReportVACATION Week 1 50.00%
Unseen ExaminationSummer Vacation Week 3 Wed 08:4080.00%
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.

Dr Anding Wang

Convenor
/profiles/531652

Dr William Wang

Assess convenor
/profiles/101946

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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, ÈÕº«ÎÞÂë, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
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