Nonlinear channel identification and performance analysis
Unlike the Schetzen method, this identification method proposed can process inputs with discrete distribution, accepts kernels of any length, tolerates signal-independent zero-mean additive noise irrespective of its color and distribution, and leads to a closed form solution. Identifiability is prov...
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| creator | Petrochilos, N. Comon, P. |
| description | Unlike the Schetzen method, this identification method proposed can process inputs with discrete distribution, accepts kernels of any length, tolerates signal-independent zero-mean additive noise irrespective of its color and distribution, and leads to a closed form solution. Identifiability is proved under assumptions on input moments; more accurate conditions are derived for particular discrete inputs (in particular in the complex plane, distributions symmetric about both axes). Several simulations demonstrate its efficiency and its speed for various discrete input distributions. |
| doi_str_mv | 10.1109/ICASSP.2000.861918 |
| format | Conference Proceeding |
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Several simulations demonstrate its efficiency and its speed for various discrete input distributions.</description><subject>Additive noise</subject><subject>Color</subject><subject>Colored noise</subject><subject>Kernel</subject><subject>Maximum likelihood estimation</subject><subject>Mean square error methods</subject><subject>Performance analysis</subject><subject>Phase shift keying</subject><subject>Signal processing</subject><subject>Stacking</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>9780780362932</isbn><isbn>0780362934</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tqwzAUREUfUDfND2TlH7B7r95altAXhDaQFLoLkixTFUcOsjf5-wpSGBhmMcMZQlYILSKYx_f10263bSkAtFqiQX1FKsqUadDA9zVZGqWhiElqGL0hFQoKjURu7sj9NP2WnlZcV8R8jGmIKdhc-x-bUhjq2IU0xz56O8cx1TZ19SnkfsxHm3wo2Q7nKU4P5La3wxSW_74gXy_P-_Vbs_l8LXibJqKicyMo9p3WQgBnSjgwlKtOusKGnDKH6EF0ioFnvZOiECqDlEuG5Yh3AtiCrC67MYRwOOV4tPl8uJxmf6mvR5Q</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Petrochilos, N.</creator><creator>Comon, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2000</creationdate><title>Nonlinear channel identification and performance analysis</title><author>Petrochilos, N. ; Comon, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-521fd885504375b09247d6b7801423b11c05d730c3fb6561479124631190cb503</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Additive noise</topic><topic>Color</topic><topic>Colored noise</topic><topic>Kernel</topic><topic>Maximum likelihood estimation</topic><topic>Mean square error methods</topic><topic>Performance analysis</topic><topic>Phase shift keying</topic><topic>Signal processing</topic><topic>Stacking</topic><toplevel>online_resources</toplevel><creatorcontrib>Petrochilos, N.</creatorcontrib><creatorcontrib>Comon, P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Petrochilos, N.</au><au>Comon, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Nonlinear channel identification and performance analysis</atitle><btitle>2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)</btitle><stitle>ICASSP</stitle><date>2000</date><risdate>2000</risdate><volume>1</volume><spage>209</spage><epage>212 vol.1</epage><pages>209-212 vol.1</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>9780780362932</isbn><isbn>0780362934</isbn><abstract>Unlike the Schetzen method, this identification method proposed can process inputs with discrete distribution, accepts kernels of any length, tolerates signal-independent zero-mean additive noise irrespective of its color and distribution, and leads to a closed form solution. Identifiability is proved under assumptions on input moments; more accurate conditions are derived for particular discrete inputs (in particular in the complex plane, distributions symmetric about both axes). Several simulations demonstrate its efficiency and its speed for various discrete input distributions.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2000.861918</doi></addata></record> |
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| identifier | ISSN: 1520-6149 |
| ispartof | 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2000, Vol.1, p.209-212 vol.1 |
| issn | 1520-6149 2379-190X |
| language | eng |
| recordid | cdi_ieee_primary_861918 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Additive noise Color Colored noise Kernel Maximum likelihood estimation Mean square error methods Performance analysis Phase shift keying Signal processing Stacking |
| title | Nonlinear channel identification and performance analysis |
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