Izvestiya of Saratov University.

Mathematics. Mechanics. Informatics

ISSN 1816-9791 (Print)
ISSN 2541-9005 (Online)

For citation:

Rodionov E. A. On Applications of Wavelets in Digital Signal Processing. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 2016, vol. 16, iss. 2, pp. 217-225. DOI: 10.18500/1816-9791-2016-16-2-217-225, EDN: WCNQMJ

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Published online: 
14.06.2016
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Language: 
Russian
Heading: 
Computer Sciences
UDC: 
519.72
DOI: 
10.18500/1816-9791-2016-16-2-217-225
EDN: 
WCNQMJ

On Applications of Wavelets in Digital Signal Processing

Autors: 
Rodionov Evgeny Anatolievich, Russian State Geological Prospecting University
Abstract: 

Discrete Wavelet transform associated with the Walsh functions was defined by Lang in 1998. The article describes an application of Lang’s transform and some its modifications in analysis of financial time series and for the compression of fractal data. It is shown that for the processing of certain signals the studied discrete wavelet transform has advantages over the discrete transforms Haar, Daubechies and the method of zone coding.

Key words: 
digital signal processing
wavelets
Walsh functions
financial time series
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Received: 
14.01.2016
Accepted: 
29.05.2016
Published: 
30.06.2016
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