Detail publikace

An Educational Software for the Ph.D. Study Course

ŠVIRÁK, M., ŠEBESTA, V.

Originální název

An Educational Software for the Ph.D. Study Course

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper describes improved support of the course Selected Topics of the Signal Theory. The course is constituent of the doctor study programme at the Brno University of Technology. The course is devoted to signal spaces, orthogonal systems, discrete transforms, complex envelope, wavelets, random signals, Karhunen-Loeve expansion, high-order statistics, cyclostationary signals, chaotic signals, MIMO systems and space-time coding. The authors have created a set of the Matlab m-files. The m-files allow students to verify theory, to show how the methods work. Moreover, students can find the algorithms of the important methods of the signal processing inside the m-files. They can easy to modify all m-files and obtain new results for different conditions. Some results of the educational m-files are included in this paper.

Klíčová slova

Signal theory, doctor study programme, signal spaces, orthogonal systems, discrete transforms, complex envelope, wavelets, random signals, Karhunen-Loeve expansion, high-order statistics, cyclostationary signals, chaotic signals, MIMO systems and space-time coding.

Autoři

ŠVIRÁK, M., ŠEBESTA, V.

Rok RIV

2004

Vydáno

27. 9. 2004

Místo

Portoroz, Slovenija

ISSN

1581-4572

Periodikum

Proceedings of the 15th International Electrotechnical and Computer Science Conference ERK 2006

Ročník

2004

Číslo

13

Stát

Slovinská republika

Strany od

285

Strany do

287

Strany počet

3

BibTex

@inproceedings{BUT11358,
  author="Martin {Švirák} and Vladimír {Šebesta}",
  title="An Educational Software for the Ph.D. Study Course",
  booktitle="ERK 2004",
  year="2004",
  journal="Proceedings of the 15th International Electrotechnical and Computer Science Conference ERK 2006",
  volume="2004",
  number="13",
  pages="3",
  address="Portoroz, Slovenija",
  issn="1581-4572"
}