Introduction to signals via RC circuits, step functions and impulse functions; impulse, frequency and step responses; Fourier analysis; linear time invariant systems; convolution; DTFT; line codes including power spectra; AM, FM, PM and phase locked loops; speech coding and delta modulation

Having successfully completed this course, students should be able to:

1. Understand continuous time and discrete time signals; power and energy
2. Understand the notion of a system and their interconnections
3. Understand the notion of mechanical, thermal and electrical analogies
4. Understand the fundamental notions of causality, linearity, time invariance and stability
5. Understand convolution and the notion of an impulse response
6. Understand Fourier Series and eigen-functions of linear time-invariant systems
7. Understand Fourier Analysis and Synthesis; Parseval's Theorem
8. Understand the notion of a frequency response
9. Understand low-pass, band-pass, high-pass filters and sinc functions
10. Understand sampling, the Sampling Theorem, aliasing and the Nyquist rate
11. Understand continuous time processing via sampling and digital processing

Proposed Assessment: Written Assignments (30%), Labs (10%), Exams (60%)

24 one-hour lectures, 4 three-hour labs and 6 one-hour tutorials

ENGN2211 or ENGN2218

ENGN2223

Course page http://eng.anu.edu.au/study/currentstudents/courses