Digital Signal Processing 301

An introductory course in Digital Signal Processing, covering the use of Statistics/Probability & Noise, ADC & DAC, Sampling Theory, Linear Systems, Convolution and the Discrete Fourier Transform

Accordion / FAQ component

Applicants will be expected to hold a Level 6 National / Higher Certificate in Business, Science, Engineering or equivalent. Applicants with other qualifications and/or with relevant experience may also be considered through ATU Sligo’s Recognition of Prior Learning (RPL) process.

On completion of this module the learner will/should be able to;

1.Use statistical methods to characterise signals and the processes that generate them
2.Identify if a given system is linear and the techniques this allows us to perform.
3.Perform the operation of convolution on given signals and systems.
4.Perform a Discrete Fourier Transform on digital data.
5.Communicate in written form, experiments carried out on digital data

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.

Digital Signal Processing 301

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