Digital Signal Processing


Discrete-time signals and systems, Sampling and Quantization effects, Fourier Transform: properties and applications, Ζ-Transform: properties and applications, Sampling and reconstruction of analog signals, Changing sampling frequency: downsampling and upsampling, Power spectrum estimation, Processing of analog signals with digital filters, Transform analysis of linear time-invariant systems, Minimum phase systems, Structures for discrete-time and digital filters, Design and implementation of infinite impulse response (IIR) and finite impulse response (FIR) filters, Transform and windowing methods


Objectives

By the end of the course, the student will be able to understand and perform tasks that relate to Discrete-time signals & Signals, Sampling & Reconstruction, Discrete-time Systems frequency analysis, Structures for discrete-time and digital filters, Design and implementation of filters


Prerequisites

Continuous-time Signals & Systems, Continuous-Time Fourier Transform, F.T. properties & applications


Syllabus

Discrete-time signals & Signals, Sampling & Reconstruction, Discrete-time Systems frequency analysis, Structures for discrete-time and digital filters, Design and implementation of filters

COURSE DETAILS

Level:

Type:

undergraduate

(A-)


Instructors: Michalis Zervakis
Department: School of Electronic and Computer Engineering
Institution: Technical University of Crete
Subject: Computer and Electronic Engineering
Rights:

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