The choice of the optimal parameter in the data compression task using generalized Laguerre functions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104586" target="_blank" >RIV/00216305:26220/13:PU104586 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The choice of the optimal parameter in the data compression task using generalized Laguerre functions
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
GRANT Journal
ISSN
1805-0638
e-ISSN
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Volume of the periodical
2
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
82
Pages from-to
67-69
UT code for WoS article
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EID of the result in the Scopus database
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