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Language of Instruction
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English
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Level of Course Unit
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Master's Degree
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Department / Program
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ELECTRICAL AND COMPUTER ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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To introduce a widened overview of discrete-time signals and systems.
To help students understand transformation methods to characterize, analyze and design systems like filters or signal processing applications.
To develop programming skills for signal processing.
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Course Content
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The course covers theory and methods for digital signal processing including basic principles governing the analysis and design of discrete-time systems as signal processing devices. After a brief review of discrete-time linear, time-invariant systems, Fourier transforms and z-transforms the topics such as sampling, impulse response, frequency response, finite and infinite impulse response systems, linear phase systems, digital filter design and implementation, discrete-time Fourier transforms, discrete Fourier transform, and the fast Fourier transform algorithms are covered.
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Course Methods and Techniques
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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None
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Classification of discrete-time signals and systems, convolution (LO1)
Discrete-time Fourier transform (LO3)
LTI systems, Impulse response and frequency response (LO2, LO3, LO4)
Finite difference equations, and z transforms. (LO3)
Sampling of continuous-time signals. (LO3)
Digital filter structures, block diagrams, signal flow-graphs, and basic FIR digital filter structures (LO4, LO5)
Ideal filters, FIR and IIR filters, filter design (LO4, LO5)
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