Advanced Signal Processing

This module will expose learners to random signals and some fundamental statistical signal processing techniques, including adaptive filtering and its applications.

Accordion / FAQ component

Most modules require a 2.2 degree in a related discipline or equivalent professional experience. Should you have any queries regarding your eligibility, please contact us at

N.B Required to complete Signal Processing or equivalent. This course is mathematically challenging, so a strong background in university honours level mathematics in the areas of linear algebra, frequency analysis (transforms), linear time invariant systems is required.

On completion of this module, learners should be able to:

1.Expound on the theoretical foundations of a number of important signal processing operations.

2. Define fundamental terms that characterise a random signal.

3.Describe and analyse linear estimators.

4.Specify and design algorithms for the processing of speech and images and implement those algorithms in a high level language.

Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.

Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.

Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.

Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.

Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.

Detailed Course Information

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