Digital Signal Processing

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Course Code: 
Course Credit Units: 
Semester 1
Year of Study: 
Year 4
Undergraduate or Graduate Level: 
Undergraduate Level
Course Discipline: 
Course Description & Objectives: 

Computer Engineering benefits from Digital signal processing, through its application in the transformation,  synthesis and analysis of data. For example, when modelling a communication channel, filters, generators and analyzers can be used to remove, add or measure noise in processing audio, images and video. The computer engineer to-be therefore has to have a thorough introduction to Digital signal processing. 

Learning Outcomes: 

· Identify some contributors to digital signal processing and multimedia and relate their achievements to the knowledge area.· Know the difference between analog and discrete signals.· Describe how computer engineering uses or benefits from digital signal processing and multimedia.· Explain the purpose of a Fourier transform in signal processing.· Describe the advantage of the FFT.· Contrast how group size affects signal spectra.· Understand the concept, properties and uses of the z–transform.· Understand the relationship between z–transform and the conformal map· Understand the Discrete Fourier transform and its significance.· Understand frequency selective filters in the z–transform domain.· Understand the definition of a window function.· Understand the discrete-time representation of signals.· Use the convolution technique to analyze circuits.

Digital Signal Processing
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