Publication result detail

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

TŮMA, M.

Original Title

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

English Title

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

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

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.

English abstract

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.

Keywords

Laguerre, compression, polynomial, wavelet

Key words in English

Laguerre, compression, polynomial, wavelet

Authors

TŮMA, M.

RIV year

2014

Released

03.07.2013

ISBN

1805-0638

Periodical

GRANT Journal

Volume

2

Number

1

State

Czech Republic

Pages from

67

Pages to

69

Pages count

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"
}