Signal analysis - course description

General information

Course name	Signal analysis
Course ID	13.2-WF-FizP-SA-S18
Faculty	Faculty of Physics and Astronomy
Field of study	Physics
Education profile	academic
Level of studies	First-cycle studies leading to Bachelor's degree
Beginning semester	winter term 2018/2019

Course information

Semester	5
ECTS credits to win	6
Course type	obligatory
Teaching language	english
Author of syllabus	dr Marcin Kośmider

Classes forms

The class form	Hours per semester (full-time)	Hours per week (full-time)	Hours per semester (part-time)	Hours per week (part-time)	Form of assignment
Lecture	30	2	-	-	Exam
Laboratory	30	2	-	-	Credit with grade

Aim of the course

The course covers theory and methods for modern digital signal processig

Prerequisites

Initial physics course, linear algebra with geometry at the level of the first two years of study, mathematical analysis at the level of the first two years of study. Ability to program in C / C ++ / Python.

Scope

Continuous and discrete signals
Analog-to-digital conversion
Statistical analysis of signals
Linear signals
Fourier representation of periodic signals
Signal filtering and aliasing
Continuous Fourier transform
Discrete Fourier transform
FFT
The characteristics of the signal in the time and frequency domain, spatial distribution as the equivalent of the time variable
Sampling and signal reconstruction
Introduction to digital image processing
Image processing with Fourier transform

Teaching methods

Lectures, accounting exercises, computer lab

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Laboratory: minimum 50% of points from tests positive passing the semester project.

Evaluation - the average of the marks and tests of the semester project

Lecture - oral exam

Course grade - 50% laboratory and 50% lecture

Notes

Modified by dr Marcin Kośmider (last modification: 21-08-2018 19:41)

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