Design of companding quantizer for Laplacian source using the approximation of probability density function
In this paper both piecewise linear and piecewise uniform approximation of probability density function are performed. For the probability density function approximated in these ways, a compressor function is formed. On the basis of compressor function formed in this way, piecewise linear and piecew...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Velimirovic, Lazar Peric, Zoran Stankovic, Miomir Simic, Nikola |
| description | In this paper both piecewise linear and piecewise uniform approximation of
probability density function are performed. For the probability density
function approximated in these ways, a compressor function is formed. On the
basis of compressor function formed in this way, piecewise linear and piecewise
uniform companding quantizer are designed. Design of these companding quantizer
models is performed for the Laplacian source at the entrance of the quantizer.
The performance estimate of the proposed companding quantizer models is done by
determining the values of signal to quantization noise ratio (SQNR) and
approximation error for the both of proposed models and also by their mutual
comparison. |
| doi_str_mv | 10.48550/arxiv.1212.2144 |
| format | Article |
| fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_1212_2144</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1212_2144</sourcerecordid><originalsourceid>FETCH-LOGICAL-a654-c38132757c370af2996f62c7e9e98488d27632dc3e452530b57d2b78109474433</originalsourceid><addsrcrecordid>eNotjz1PwzAYhL0woMLOhPwHEuKv2BlR-ZQisXSP3jh2azW1jZ2gll9PUzqdTnc63YPQA6lKroSoniAd3U9JKKElJZzfov2LyW7rcbBYh0MEPzi_xd8z-Mn9moRtSLiFOIJ24HEOc9IGz3kpTTuDIcYUju4AkwuXkbPtoXejm054MD4vamevl_wO3VgYs7m_6gpt3l4364-i_Xr_XD-3BdSCF5opwqgUUjNZgaVNU9uaamka0yiu1EBlzeigmeGCClb1Qg60l4pUDZecM7ZCj_-zF9gupvO9dOoW6G6BZn_4DlLf</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Design of companding quantizer for Laplacian source using the approximation of probability density function</title><source>arXiv.org</source><creator>Velimirovic, Lazar ; Peric, Zoran ; Stankovic, Miomir ; Simic, Nikola</creator><creatorcontrib>Velimirovic, Lazar ; Peric, Zoran ; Stankovic, Miomir ; Simic, Nikola</creatorcontrib><description>In this paper both piecewise linear and piecewise uniform approximation of
probability density function are performed. For the probability density
function approximated in these ways, a compressor function is formed. On the
basis of compressor function formed in this way, piecewise linear and piecewise
uniform companding quantizer are designed. Design of these companding quantizer
models is performed for the Laplacian source at the entrance of the quantizer.
The performance estimate of the proposed companding quantizer models is done by
determining the values of signal to quantization noise ratio (SQNR) and
approximation error for the both of proposed models and also by their mutual
comparison.</description><identifier>DOI: 10.48550/arxiv.1212.2144</identifier><language>eng</language><subject>Computer Science - Information Theory ; Mathematics - Information Theory ; Mathematics - Optimization and Control</subject><creationdate>2012-12</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1212.2144$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1212.2144$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Velimirovic, Lazar</creatorcontrib><creatorcontrib>Peric, Zoran</creatorcontrib><creatorcontrib>Stankovic, Miomir</creatorcontrib><creatorcontrib>Simic, Nikola</creatorcontrib><title>Design of companding quantizer for Laplacian source using the approximation of probability density function</title><description>In this paper both piecewise linear and piecewise uniform approximation of
probability density function are performed. For the probability density
function approximated in these ways, a compressor function is formed. On the
basis of compressor function formed in this way, piecewise linear and piecewise
uniform companding quantizer are designed. Design of these companding quantizer
models is performed for the Laplacian source at the entrance of the quantizer.
The performance estimate of the proposed companding quantizer models is done by
determining the values of signal to quantization noise ratio (SQNR) and
approximation error for the both of proposed models and also by their mutual
comparison.</description><subject>Computer Science - Information Theory</subject><subject>Mathematics - Information Theory</subject><subject>Mathematics - Optimization and Control</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotjz1PwzAYhL0woMLOhPwHEuKv2BlR-ZQisXSP3jh2azW1jZ2gll9PUzqdTnc63YPQA6lKroSoniAd3U9JKKElJZzfov2LyW7rcbBYh0MEPzi_xd8z-Mn9moRtSLiFOIJ24HEOc9IGz3kpTTuDIcYUju4AkwuXkbPtoXejm054MD4vamevl_wO3VgYs7m_6gpt3l4364-i_Xr_XD-3BdSCF5opwqgUUjNZgaVNU9uaamka0yiu1EBlzeigmeGCClb1Qg60l4pUDZecM7ZCj_-zF9gupvO9dOoW6G6BZn_4DlLf</recordid><startdate>20121210</startdate><enddate>20121210</enddate><creator>Velimirovic, Lazar</creator><creator>Peric, Zoran</creator><creator>Stankovic, Miomir</creator><creator>Simic, Nikola</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20121210</creationdate><title>Design of companding quantizer for Laplacian source using the approximation of probability density function</title><author>Velimirovic, Lazar ; Peric, Zoran ; Stankovic, Miomir ; Simic, Nikola</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a654-c38132757c370af2996f62c7e9e98488d27632dc3e452530b57d2b78109474433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Computer Science - Information Theory</topic><topic>Mathematics - Information Theory</topic><topic>Mathematics - Optimization and Control</topic><toplevel>online_resources</toplevel><creatorcontrib>Velimirovic, Lazar</creatorcontrib><creatorcontrib>Peric, Zoran</creatorcontrib><creatorcontrib>Stankovic, Miomir</creatorcontrib><creatorcontrib>Simic, Nikola</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Velimirovic, Lazar</au><au>Peric, Zoran</au><au>Stankovic, Miomir</au><au>Simic, Nikola</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of companding quantizer for Laplacian source using the approximation of probability density function</atitle><date>2012-12-10</date><risdate>2012</risdate><abstract>In this paper both piecewise linear and piecewise uniform approximation of
probability density function are performed. For the probability density
function approximated in these ways, a compressor function is formed. On the
basis of compressor function formed in this way, piecewise linear and piecewise
uniform companding quantizer are designed. Design of these companding quantizer
models is performed for the Laplacian source at the entrance of the quantizer.
The performance estimate of the proposed companding quantizer models is done by
determining the values of signal to quantization noise ratio (SQNR) and
approximation error for the both of proposed models and also by their mutual
comparison.</abstract><doi>10.48550/arxiv.1212.2144</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.48550/arxiv.1212.2144 |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_arxiv_primary_1212_2144 |
| source | arXiv.org |
| subjects | Computer Science - Information Theory Mathematics - Information Theory Mathematics - Optimization and Control |
| title | Design of companding quantizer for Laplacian source using the approximation of probability density function |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T23%3A53%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Design%20of%20companding%20quantizer%20for%20Laplacian%20source%20using%20the%20approximation%20of%20probability%20density%20function&rft.au=Velimirovic,%20Lazar&rft.date=2012-12-10&rft_id=info:doi/10.48550/arxiv.1212.2144&rft_dat=%3Carxiv_GOX%3E1212_2144%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |