Synthesis of Wavelet Filters using Wavelet Neural Networks
| Main Authors: | Wajdi Bellil, Chokri Ben Amar, Adel M. Alimi |
|---|---|
| Format: | Article eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2008
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/1072946 |
| ctrlnum |
1072946 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Wajdi Bellil</creator><creator>Chokri Ben Amar</creator><creator>Adel M. Alimi</creator><date>2008-01-22</date><description>An application of Beta wavelet networks to
synthesize pass-high and pass-low wavelet filters is investigated in
this work. A Beta wavelet network is constructed using a parametric
function called Beta function in order to resolve some nonlinear
approximation problem. We combine the filter design theory with
wavelet network approximation to synthesize perfect filter
reconstruction. The order filter is given by the number of neurons in
the hidden layer of the neural network. In this paper we use only the
first derivative of Beta function to illustrate the proposed design
procedures and exhibit its performance.</description><identifier>https://zenodo.org/record/1072946</identifier><identifier>10.5281/zenodo.1072946</identifier><identifier>oai:zenodo.org:1072946</identifier><language>eng</language><relation>doi:10.5281/zenodo.1072945</relation><relation>url:https://zenodo.org/communities/waset</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Beta wavelets</subject><subject>Wavenet</subject><subject>multiresolution analysis</subject><subject>perfect filter reconstruction</subject><subject>salient point detect</subject><subject>repeatability.</subject><title>Synthesis of Wavelet Filters using Wavelet Neural Networks</title><type>Journal:Article</type><type>Journal:Article</type><recordID>1072946</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Journal:eJournal |
| author |
Wajdi Bellil Chokri Ben Amar Adel M. Alimi |
| title |
Synthesis of Wavelet Filters using Wavelet Neural Networks |
| publishDate |
2008 |
| topic |
Beta wavelets Wavenet multiresolution analysis perfect filter reconstruction salient point detect repeatability |
| url |
https://zenodo.org/record/1072946 |
| contents |
An application of Beta wavelet networks to
synthesize pass-high and pass-low wavelet filters is investigated in
this work. A Beta wavelet network is constructed using a parametric
function called Beta function in order to resolve some nonlinear
approximation problem. We combine the filter design theory with
wavelet network approximation to synthesize perfect filter
reconstruction. The order filter is given by the number of neurons in
the hidden layer of the neural network. In this paper we use only the
first derivative of Beta function to illustrate the proposed design
procedures and exhibit its performance. |
| id |
IOS17403.1072946 |
| institution |
Universitas PGRI Palembang |
| institution_id |
189 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas PGRI Palembang |
| library_id |
587 |
| collection |
Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized |
| repository_id |
17403 |
| city |
KOTA PALEMBANG |
| province |
SUMATERA SELATAN |
| repoId |
IOS17403 |
| first_indexed |
2022-07-26T03:51:01Z |
| last_indexed |
2022-07-26T03:51:01Z |
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dc |
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1 |
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17.538404 |