Multidimensional PRCC filter banks and matched sampling systems
We derive general expressions for filters in multidimensional interpolation and approximation sampling systems matched to the input process. We then estimate the mean square error between the reconstructed and the original processes for these systems. We next describe the extension of the perfect re...
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| creator | Bopardikar, A.S. Rao, R.M. |
| description | We derive general expressions for filters in multidimensional interpolation and approximation sampling systems matched to the input process. We then estimate the mean square error between the reconstructed and the original processes for these systems. We next describe the extension of the perfect reconstruction circular convolution filter bank (PRCC) framework to two-dimensions for the specific case of filter banks based on qunicunx sampling. We conclude by discussing how the matched sampling systems can be used in the PRCC framework in potential applications such as image coding. |
| doi_str_mv | 10.1109/TFSA.1998.721478 |
| format | Conference Proceeding |
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We then estimate the mean square error between the reconstructed and the original processes for these systems. We next describe the extension of the perfect reconstruction circular convolution filter bank (PRCC) framework to two-dimensions for the specific case of filter banks based on qunicunx sampling. We conclude by discussing how the matched sampling systems can be used in the PRCC framework in potential applications such as image coding.</description><identifier>ISBN: 0780350731</identifier><identifier>ISBN: 9780780350731</identifier><identifier>DOI: 10.1109/TFSA.1998.721478</identifier><language>eng</language><publisher>IEEE</publisher><subject>Filter bank ; Genetic expression ; Image reconstruction ; Image sampling ; Impedance matching ; Interpolation ; Matched filters ; Mean square error methods ; Multidimensional systems ; Sampling methods</subject><ispartof>Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. 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No.98TH8380)</title><addtitle>TFSA</addtitle><description>We derive general expressions for filters in multidimensional interpolation and approximation sampling systems matched to the input process. We then estimate the mean square error between the reconstructed and the original processes for these systems. We next describe the extension of the perfect reconstruction circular convolution filter bank (PRCC) framework to two-dimensions for the specific case of filter banks based on qunicunx sampling. We conclude by discussing how the matched sampling systems can be used in the PRCC framework in potential applications such as image coding.</description><subject>Filter bank</subject><subject>Genetic expression</subject><subject>Image reconstruction</subject><subject>Image sampling</subject><subject>Impedance matching</subject><subject>Interpolation</subject><subject>Matched filters</subject><subject>Mean square error methods</subject><subject>Multidimensional systems</subject><subject>Sampling methods</subject><isbn>0780350731</isbn><isbn>9780780350731</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj0FLw0AUhBdEUGvv4mn_QOJ73c3uvpOUYFWoWGo9l032RVeTWLLx0H9voM5lYPgYZoS4QcgRge52q7dljkQutwvU1p2JK7AOVAFW4YWYp_QFkxQZQ4tLcf_y244xxI77FH9638rNtixlE9uRB1n5_jtJ3wfZ-bH-5CCT7w5t7D9kOqaRu3QtzhvfJp7_-0y8rx525VO2fn18LpfrLCLoMQuVAibUzgWjqrpAUJocE4Oe4sIqbWqk2jVAatpqqZkgY0DrgF5zUDNxe-qNzLw_DLHzw3F_uqj-AOynRg4</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Bopardikar, A.S.</creator><creator>Rao, R.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1998</creationdate><title>Multidimensional PRCC filter banks and matched sampling systems</title><author>Bopardikar, A.S. ; Rao, R.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-db30e91488d63bc5103498e9e04e9157346c19c8f09303579fbc566044d1a4ed3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Filter bank</topic><topic>Genetic expression</topic><topic>Image reconstruction</topic><topic>Image sampling</topic><topic>Impedance matching</topic><topic>Interpolation</topic><topic>Matched filters</topic><topic>Mean square error methods</topic><topic>Multidimensional systems</topic><topic>Sampling methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Bopardikar, A.S.</creatorcontrib><creatorcontrib>Rao, R.M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bopardikar, A.S.</au><au>Rao, R.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multidimensional PRCC filter banks and matched sampling systems</atitle><btitle>Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)</btitle><stitle>TFSA</stitle><date>1998</date><risdate>1998</risdate><spage>529</spage><epage>532</epage><pages>529-532</pages><isbn>0780350731</isbn><isbn>9780780350731</isbn><abstract>We derive general expressions for filters in multidimensional interpolation and approximation sampling systems matched to the input process. We then estimate the mean square error between the reconstructed and the original processes for these systems. We next describe the extension of the perfect reconstruction circular convolution filter bank (PRCC) framework to two-dimensions for the specific case of filter banks based on qunicunx sampling. We conclude by discussing how the matched sampling systems can be used in the PRCC framework in potential applications such as image coding.</abstract><pub>IEEE</pub><doi>10.1109/TFSA.1998.721478</doi><tpages>4</tpages></addata></record> |
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| ispartof | Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380), 1998, p.529-532 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Filter bank Genetic expression Image reconstruction Image sampling Impedance matching Interpolation Matched filters Mean square error methods Multidimensional systems Sampling methods |
| title | Multidimensional PRCC filter banks and matched sampling systems |
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