Programming and Modelling 1

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Air Transport

Synopsis:

Harmonic signals, their generation. Real signals, sampling theorem, aliasing. Signal filtering. Fourier transform (FT), discrete Fourier transform (DFT), fast Fourier transform (FFT). Spectrum estimation, spectral power density. Image - basic processing methods, 2D Fourier transform, noise filtering, edge detection, linear and non-linear methods, brightness transforms, geometric transforms, image compression.

Requirements:

none

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

The goal of the course is to introduce students to the basics of 1D signal processing and image processing. The course is designed so that students are able to apply the acquired information to real data. The output of the course will be the students' own semester project.

Study materials:

Rawat, Tarun K. Digital signal processing. New Delhi, India: Oxford University Press, 2015.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Master Full-Time PL from 2022/23 (compulsory course)
• Master Part-Time PL from 2022/23 (compulsory course)
• Master Full-Time PL from 2023/24 (compulsory course)
• Master Part-Time PL from 2023/24 (compulsory course)
• Master Full-Time PL from 2024/25 (compulsory course)
• Master Part-Time PL from 2024/25 (compulsory course)