A Hybrid Model of 1-D Signal Adaptive Filter Based on the Complex Use of Huang Transform and Wavelet Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F19%3A43894518" target="_blank" >RIV/44555601:13440/19:43894518 - isvavai.cz</a>
Result on the web
<a href="http://www.mecs-press.org/ijisa/ijisa-v11-n2/IJISA-V11-N2-1.pdf" target="_blank" >http://www.mecs-press.org/ijisa/ijisa-v11-n2/IJISA-V11-N2-1.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5815/ijisa.2019.02.01" target="_blank" >10.5815/ijisa.2019.02.01</a>
Alternative languages
Result language
angličtina
Original language name
A Hybrid Model of 1-D Signal Adaptive Filter Based on the Complex Use of Huang Transform and Wavelet Analysis
Original language description
The paper presents the results of the research concerning the development of the hybrid model of 1-D signal adaptive filter based on the complex use of both the empirical mode decomposition and the wavelet analysis. Implementation of the proposed model involves three stages. Firstly, the initial signal is decomposed to the empirical modes by the Huang transform with allocation the components, which contain the noise. Then the wavelet filtering is performed to remove the noise component. The optimal parameters of the wavelet filter are determined based on the minimal value of ratio of Shannon entropy for the filtered data and the allocated noise component and these parameters are determined depending on type of the studied component of the signal. Finally, the signal is reconstructed with the use of the processed modes. The results of the simulation with the use of the test data have shown higher effectiveness of the proposed method in comparison with standard method of the signal denoising based on wavelet analysis
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Intelligent Systems and Applications
ISSN
2074-904X
e-ISSN
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Volume of the periodical
2019
Issue of the periodical within the volume
2
Country of publishing house
CN - CHINA
Number of pages
8
Pages from-to
1-8
UT code for WoS article
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EID of the result in the Scopus database
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