Signals and Systems EEET3041

Welcome to Signals and Systems EEET3041 for 2015. My name is Robby McKilliam and I'll be your lecturer. In this course we learn how to analyse linear-time invariant systems that are used to model and design electric circuits, mechanical machines, and electro-mechanical devices. I studied Engineering and Mathematics at the University of Queensland and completed my PhD there in 2010. I've since worked at the Institute for Telecommunications Research apart of the School of Information Technology and Mathematical Sciences at the Mawson Lakes Campus. My research interests include statistical signal processing, communications engineering, and number theory.

Lecture notes Exercise solutions Software Stats Top 10

Practical Assignments: 1 2 3

Theory Assignments: 1 2 3

Midsemester test

Lecture videos:
Course information
1 Signals and Systems
1.1 Properties of signals
1.2 Systems (functions of signals)
1.3 Some important systems
1.4 Spaces of signals
1.5 Properties of systems
2 Systems modelled by differential equations
2.1 Passive electrical circuits
2.2 Active electrical circuits
2.3 Masses, springs, and dampers
2.4 Direct current motors
3 Linear shift-invariant systems
3.1 Convolution, regular systems, and the delta "function"
3.2 Properties of convolution
3.3 Linear combining and composition
3.4 Eigenfunctions and the transfer function
3.5 The spectrum
4 The Laplace transform
4.1 Regions of convergence
4.3 The transfer function and the Laplace transform
4.2 The inverse Laplace transform
4.4 First order systems
4.5 Second order systems
4.6 Poles, zeros, and stabilty
5 The Fourier transform
5.1 The inverse transform and the Plancherel theorem
5.2 Analogue Fiters
5.3 Complex sequences
5.4 Bandlimited signals
5.5 The discrete time Fourier transform
6 Discrete time systems
6.1 The discrete impulse response
6.2 The transfer function and the spectrum>
6.3 Ideal digital filters
6.4 Finite impulse response filters

You can view last years website here.