Significance of Numerical Integration in Performance Analysis of Modulation Techniques
In this paper numerical integration techniques are used to derive an approximation to Q ( a γ ) Q ( b γ ) . Further this approximation is used to solve the symbol error probability (SEP) integral containing Q ( a γ ) Q ( b γ ) over various fading distributions. The accuracy of proposed approximation...
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| Veröffentlicht in: | Wireless personal communications 2021-06, Vol.118 (4), p.2209-2218 |
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| container_title | Wireless personal communications |
| container_volume | 118 |
| creator | Aggarwal, Supriya |
| description | In this paper numerical integration techniques are used to derive an approximation to
Q
(
a
γ
)
Q
(
b
γ
)
. Further this approximation is used to solve the symbol error probability (SEP) integral containing
Q
(
a
γ
)
Q
(
b
γ
)
over various fading distributions. The accuracy of proposed approximation and solution to SEP integral are verified using computer simulations and in-built functions in MATLAB. |
| doi_str_mv | 10.1007/s11277-021-08119-6 |
| format | Article |
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Q
(
a
γ
)
Q
(
b
γ
)
. Further this approximation is used to solve the symbol error probability (SEP) integral containing
Q
(
a
γ
)
Q
(
b
γ
)
over various fading distributions. The accuracy of proposed approximation and solution to SEP integral are verified using computer simulations and in-built functions in MATLAB.</description><identifier>ISSN: 0929-6212</identifier><identifier>EISSN: 1572-834X</identifier><identifier>DOI: 10.1007/s11277-021-08119-6</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Approximation ; Communications Engineering ; Computer Communication Networks ; Engineering ; Integrals ; Mathematical analysis ; Networks ; Numerical integration ; Signal,Image and Speech Processing</subject><ispartof>Wireless personal communications, 2021-06, Vol.118 (4), p.2209-2218</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-5a188463a6e41561c00d2d74d06f7aa8b692c9873d54e457ba8bcb34eb841e933</cites><orcidid>0000-0002-1976-9579</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11277-021-08119-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11277-021-08119-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Aggarwal, Supriya</creatorcontrib><title>Significance of Numerical Integration in Performance Analysis of Modulation Techniques</title><title>Wireless personal communications</title><addtitle>Wireless Pers Commun</addtitle><description>In this paper numerical integration techniques are used to derive an approximation to
Q
(
a
γ
)
Q
(
b
γ
)
. Further this approximation is used to solve the symbol error probability (SEP) integral containing
Q
(
a
γ
)
Q
(
b
γ
)
over various fading distributions. The accuracy of proposed approximation and solution to SEP integral are verified using computer simulations and in-built functions in MATLAB.</description><subject>Approximation</subject><subject>Communications Engineering</subject><subject>Computer Communication Networks</subject><subject>Engineering</subject><subject>Integrals</subject><subject>Mathematical analysis</subject><subject>Networks</subject><subject>Numerical integration</subject><subject>Signal,Image and Speech Processing</subject><issn>0929-6212</issn><issn>1572-834X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKt_wNOC52i-NskeS_GjUD_AKt5CNputKdtEk91D_71pV_DmaZjheWaGF4BLjK4xQuImYUyEgIhgiCTGFeRHYIJLQaCk7OMYTFBF8pBgcgrOUtoglLWKTMD7q1t71zqjvbFFaIunYWtjbrti4Xu7jrp3wRfOFy82tiFuD9zM626XXNoLj6EZupFaWfPp3fdg0zk4aXWX7MVvnYK3u9vV_AEun-8X89kSGiJQD0uNpWScam4ZLjk2CDWkEaxBvBVay5pXxFRS0KZklpWiziNTU2ZrybCtKJ2Cq3HvVwz7u73ahCHm75IiJaWU0yxnioyUiSGlaFv1Fd1Wx53CSO3zU2N-KuenDvkpniU6SinDfm3j3-p_rB9gl3Mt</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Aggarwal, Supriya</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-1976-9579</orcidid></search><sort><creationdate>20210601</creationdate><title>Significance of Numerical Integration in Performance Analysis of Modulation Techniques</title><author>Aggarwal, Supriya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-5a188463a6e41561c00d2d74d06f7aa8b692c9873d54e457ba8bcb34eb841e933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Approximation</topic><topic>Communications Engineering</topic><topic>Computer Communication Networks</topic><topic>Engineering</topic><topic>Integrals</topic><topic>Mathematical analysis</topic><topic>Networks</topic><topic>Numerical integration</topic><topic>Signal,Image and Speech Processing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aggarwal, Supriya</creatorcontrib><collection>CrossRef</collection><jtitle>Wireless personal communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aggarwal, Supriya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Significance of Numerical Integration in Performance Analysis of Modulation Techniques</atitle><jtitle>Wireless personal communications</jtitle><stitle>Wireless Pers Commun</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>118</volume><issue>4</issue><spage>2209</spage><epage>2218</epage><pages>2209-2218</pages><issn>0929-6212</issn><eissn>1572-834X</eissn><abstract>In this paper numerical integration techniques are used to derive an approximation to
Q
(
a
γ
)
Q
(
b
γ
)
. Further this approximation is used to solve the symbol error probability (SEP) integral containing
Q
(
a
γ
)
Q
(
b
γ
)
over various fading distributions. The accuracy of proposed approximation and solution to SEP integral are verified using computer simulations and in-built functions in MATLAB.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11277-021-08119-6</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1976-9579</orcidid></addata></record> |
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| ispartof | Wireless personal communications, 2021-06, Vol.118 (4), p.2209-2218 |
| issn | 0929-6212 1572-834X |
| language | eng |
| recordid | cdi_proquest_journals_2533363873 |
| source | SpringerLink Journals |
| subjects | Approximation Communications Engineering Computer Communication Networks Engineering Integrals Mathematical analysis Networks Numerical integration Signal,Image and Speech Processing |
| title | Significance of Numerical Integration in Performance Analysis of Modulation Techniques |
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