Prerequisite/Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Must have knowledge of basic signal sampling and its limitations
• Must be able to explain the concepts of aliasing
• Must have knowledge about linear time invariant systems including impulse response, difference equation, convolution, stability, and causality
• Must have knowledge of finite impulse response filters
• Must have knowledge about definition, basic properties and theorems regarding discrete Fourier transform
• Must be able to explain frequency domain spectra and relate them to their time domain representations.

Skills

• Must be able to analyse digital signals and finite impulse response filters by using the methods of convolution, difference equation, impulse response and frequency domain response
• Must be able to design finite impulse response filters from a set of specifications using MATLAB functions
• Must be able to apply the design tools of MATLAB to calculate the filter coefficients
• Must be able to implement and test digital filters using MATLAB

Competences

• Must be able to solve signal processing related problems in a practical context
• Must be able to apply signal processing algorithms and analyse the results

Type of instruction

Refer to the overview of instruction types listed in the start of chapter 3. The types of instruction for this course are decided according to the current Joint Programme Regulations and directions are decided and given by The Study Board of Electronics and IT.

Exam

Exams