Signal and System Analysis

Undergraduate course

Course description

Objectives and Content

The subject explains about discrete time signals and systems and their properties using time domain (difference equations), frequency domain (Fourier transforms) and z-plane (Z-transforms) analysis. Specific analysis of

some simple filters, low-pass, band-pass. FIR type of filters (filters using only feed forward)

and IIR type filters (filters also using feedback in their design) and criteria for stability.

Instructive lab exercises where the simulation program Matlab is used to implement different

digital algorithms showing practical use of the subject (e.g. on music and speech, and in

some other connections).

It is an advantage to know some programming, but it is possible to attend to the course and

learn simple Matlab programming as the course advances, this though, will mean an extra work

load.

Learning Outcomes

Having completed the Phys 116 course the student shall be able to account for how signals

are brought from an analogue form to a digital form, i.e. how signals are digitzed and the problems

connected to this like aliasing and quantization. The student shall be able to construct simple

algorithms that implement different kinds of filters, running average, low-pass, band-pass

and apply the filters to practical problems connected to sound and picture handling in the most

simple fashion.

The student shall know the difference between FIR and IIR filters and master theoretical

analysis tools for z-plane, frequency domain and time domain.

Grading Scale
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.