MATH3016
Fourier and Signal Analysis

Course Description

Introduction to analog and digital signal processing, the course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. It addresses the following topics: Fourier series. Convergence of Fourier series. Fourier and inverse Fourier transformations. Fourier spectrum, discrete and continuous signals. Shannon sampling theorem, filter and convolution. Z-transform, linear time-invariance, filter, and system. Impulse (delta-) function, Hilbert transformation, and analytic signal. Physically realizable signals, Hardy spaces, Phase derivative and instantaneous frequency.


Prerequisite

Back to Course List