přihlášení odhlášení
11MAI
uživatel: anonymní

[Mathematical Tools - 2019/2020]

Mathematical Tools — from Fourier series to analysis of non-stationary signals

Instructor: Dr.-techn. Ing. Jan Přikryl <prikryl@fd.cvut.cz>

Lectures: Monday 09:45-11:15 K107c (group 26), Monday 13:15-14:45 K107c (group 25)

Computer sessions: Monday 11:30-13:00 K107c (group 26), Monday 15:00-16:30 K107c (group 25)

Course description

Fourier Transform, and short time Fourier Transform, have established themselves as an important tool in modern signal processing as well as in applied mathematics. The objective of this course is to establish the mathematical foundations necessary to understand general constructions useful for signal processing, update and extend the knowledge about data processing and to provide an introduction to numerical methods for solving traffic flow equations.  The course includes experimental and computer projects involving individual effort.

Prerequisites: Linear Algebra, Statistial Learning, MATLAB

Texts

M. Vetterli, J. Kovacevic, and V. K. Goyal. “Fourier and Wavelet Signal Processing”. With permission of authors available from our webpage as PDF here.

S. Allen Broughton, and Kurt Bryan. ”Discrete Fourier Analysis and Wavelets”. John Wiley, 2009.

TBA

Grading

The following table lists all possible scores that can be obtained:

Homeworks 21 points
- minimum homework points 9 points
Final project
14 points
- minimum from the project 7 points
Total 30(+5) points

Final grade is given by the total points obtained for homeworks and the final project. The grading scheme is as follows:

Total points Grade ECTS
27 to 30 excellent A
24 to <27 very good B
21 to <24 good C
18 to <21 satisfactory D
16 to <18 sufficient E
less than 16 failed F

Schoolyear: 2023/2024. Last modified: 14.09.2021 19:49:57. Vzniklo díky podpoře grantu FRVŠ 1344/2007 a grantu FRVŠ 2050/2011.