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