Publication detail

An Educational Software for the Ph.D. Study Course

ŠVIRÁK, M., ŠEBESTA, V.

Original Title

An Educational Software for the Ph.D. Study Course

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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.

Authors

ŠVIRÁK, M., ŠEBESTA, V.

RIV year

2004

Released

27. 9. 2004

Location

Portoroz, Slovenija

ISBN

1581-4572

Periodical

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

Year of study

2004

Number

13

State

Republic of Slovenia

Pages from

285

Pages to

287

Pages count

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"
}