Detail publikace

The choice of the optimal parameter in the data compression task using generalized Laguerre functions

TŮMA, M.

Originální název

The choice of the optimal parameter in the data compression task using generalized Laguerre functions

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

This article deals with the use of the generalized Laguerre functions to the data compression. After the short introduction the definition of the generalized Laguerre polynomials and functions is given. The application of the discrete generalized Laguerre transform on the data compression is shown. It is pointed out that the discrete generalized Laguerre transform can give better results than the discrete cosine transform in the task of the data compression. The choice of the optimal parameter in the generalized Laguerre functions is discussed. The comparison between the optimal DLT, standard DLT, DCT and wavelet data compression with Haar and CDF basis is shown.

Klíčová slova

Laguerre, compression, polynomial, wavelet

Autoři

TŮMA, M.

Rok RIV

2013

Vydáno

3. 7. 2013

ISSN

1805-0638

Periodikum

GRANT Journal

Ročník

2

Číslo

1

Stát

Česká republika

Strany od

67

Strany do

69

Strany počet

82

BibTex

@article{BUT100930,
  author="Martin {Tůma}",
  title="The choice of the optimal parameter in the data compression task using generalized Laguerre functions",
  journal="GRANT Journal",
  year="2013",
  volume="2",
  number="1",
  pages="67--69",
  issn="1805-0638"
}