An Improved Importance Sampling Method for Digital Communication System Simulations
The use of importance sampling techniques can substantially reduce the variance of probability of error estimates obtained by Monte Carlo type simulations of digital communication systems. However, the advantages of importance sampling diminish as the memory length of the system becomes greater. Thi...
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| Veröffentlicht in: | I.R.E. transactions on communications systems 1986-07, Vol.34 (7), p.715-719 |
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| container_title | I.R.E. transactions on communications systems |
| container_volume | 34 |
| creator | Davis, B. |
| description | The use of importance sampling techniques can substantially reduce the variance of probability of error estimates obtained by Monte Carlo type simulations of digital communication systems. However, the advantages of importance sampling diminish as the memory length of the system becomes greater. This paper presents a modified importance sampling method which achieves substantial variance reduction for systems with memory. |
| doi_str_mv | 10.1109/TCOM.1986.1096598 |
| format | Article |
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This paper presents a modified importance sampling method which achieves substantial variance reduction for systems with memory.</description><identifier>ISSN: 0090-6778</identifier><identifier>ISSN: 0096-2244</identifier><identifier>EISSN: 1558-0857</identifier><identifier>DOI: 10.1109/TCOM.1986.1096598</identifier><identifier>CODEN: IECMBT</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Bit rate ; Coding, codes ; Digital communication ; Electrons ; Error analysis ; Exact sciences and technology ; Frequency ; Information, signal and communications theory ; Monitoring ; Monte Carlo methods ; Optical fibers ; Optical pulses ; Power measurement ; Signal and communications theory ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Transmission and modulation (techniques and equipments)</subject><ispartof>I.R.E. transactions on communications systems, 1986-07, Vol.34 (7), p.715-719</ispartof><rights>1987 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-9837d438255ca9fe5eafd65bd84e30786d545319d60d2f1c6b3392c466a04d513</citedby><cites>FETCH-LOGICAL-c352t-9837d438255ca9fe5eafd65bd84e30786d545319d60d2f1c6b3392c466a04d513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1096598$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1096598$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=7980926$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=7980929$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Davis, B.</creatorcontrib><title>An Improved Importance Sampling Method for Digital Communication System Simulations</title><title>I.R.E. transactions on communications systems</title><addtitle>TCOMM</addtitle><description>The use of importance sampling techniques can substantially reduce the variance of probability of error estimates obtained by Monte Carlo type simulations of digital communication systems. 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This paper presents a modified importance sampling method which achieves substantial variance reduction for systems with memory.</description><subject>Applied sciences</subject><subject>Bit rate</subject><subject>Coding, codes</subject><subject>Digital communication</subject><subject>Electrons</subject><subject>Error analysis</subject><subject>Exact sciences and technology</subject><subject>Frequency</subject><subject>Information, signal and communications theory</subject><subject>Monitoring</subject><subject>Monte Carlo methods</subject><subject>Optical fibers</subject><subject>Optical pulses</subject><subject>Power measurement</subject><subject>Signal and communications theory</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><issn>0090-6778</issn><issn>0096-2244</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1986</creationdate><recordtype>article</recordtype><recordid>eNqNkE1PwyAYgInRxDn9AcYLB-OtE0qhcFzq1xKXHTrPhAGdmLZM6Ez2723tYjx6ej_yvB95ALjGaIYxEvfrYrWcYcHZrK8YFfwETDClPEGc5qdggpBACctzfg4uYvxACGWIkAko5y1cNLvgv6wZEh861WoLS9Xsatdu4dJ2797Aygf44LauUzUsfNPsW6dV53wLy0PsbANL1-zrn068BGeVqqO9OsYpeHt6XBcvyevqeVHMXxNNaNolgpPcZISnlGolKkutqgyjG8MzS1DOmaEZJVgYhkxaYc02hIhUZ4wplBmKyRTcjXv79z_3NnaycVHbulat9fso0wzjnHPSg3gEdfAxBlvJXXCNCgeJkRz0yUGfHPTJo75-5va4XEWt6ir0Wlz8HcwFRyIV_8NYj92MmLPW_rk-3voGTc-FSA</recordid><startdate>19860701</startdate><enddate>19860701</enddate><creator>Davis, B.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19860701</creationdate><title>An Improved Importance Sampling Method for Digital Communication System Simulations</title><author>Davis, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-9837d438255ca9fe5eafd65bd84e30786d545319d60d2f1c6b3392c466a04d513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1986</creationdate><topic>Applied sciences</topic><topic>Bit rate</topic><topic>Coding, codes</topic><topic>Digital communication</topic><topic>Electrons</topic><topic>Error analysis</topic><topic>Exact sciences and technology</topic><topic>Frequency</topic><topic>Information, signal and communications theory</topic><topic>Monitoring</topic><topic>Monte Carlo methods</topic><topic>Optical fibers</topic><topic>Optical pulses</topic><topic>Power measurement</topic><topic>Signal and communications theory</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Transmission and modulation (techniques and equipments)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davis, B.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>I.R.E. transactions on communications systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Davis, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Improved Importance Sampling Method for Digital Communication System Simulations</atitle><jtitle>I.R.E. transactions on communications systems</jtitle><stitle>TCOMM</stitle><date>1986-07-01</date><risdate>1986</risdate><volume>34</volume><issue>7</issue><spage>715</spage><epage>719</epage><pages>715-719</pages><issn>0090-6778</issn><issn>0096-2244</issn><eissn>1558-0857</eissn><coden>IECMBT</coden><abstract>The use of importance sampling techniques can substantially reduce the variance of probability of error estimates obtained by Monte Carlo type simulations of digital communication systems. However, the advantages of importance sampling diminish as the memory length of the system becomes greater. This paper presents a modified importance sampling method which achieves substantial variance reduction for systems with memory.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCOM.1986.1096598</doi><tpages>5</tpages></addata></record> |
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| ispartof | I.R.E. transactions on communications systems, 1986-07, Vol.34 (7), p.715-719 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Bit rate Coding, codes Digital communication Electrons Error analysis Exact sciences and technology Frequency Information, signal and communications theory Monitoring Monte Carlo methods Optical fibers Optical pulses Power measurement Signal and communications theory Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) |
| title | An Improved Importance Sampling Method for Digital Communication System Simulations |
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