On the exact recovery of higher-order moments of noisy signals
The importance of moments in science and engineering, as witnessed by the continuous and wide applicability of second-order moments (correlations) and the use of their higher-order brethren is clearly unquestionable. Due to the predominance of digital, rather than analogue, signal processing, it is...
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description | The importance of moments in science and engineering, as witnessed by the continuous and wide applicability of second-order moments (correlations) and the use of their higher-order brethren is clearly unquestionable. Due to the predominance of digital, rather than analogue, signal processing, it is of practical importance to investigate the impact of amplitude quantization on the exact recovery of unquantized moments from their quantized counterparts. We extend the results of Cheded (see IEEE ICASSP'95, p.1816-19, Detroit, USA) to the more general and interesting case where no a priori knowledge of the quantizer input's membership of the class L/sub p/ is available. We introduce a new moment-sense input/output function h/sub p/(x) that statistically characterizes the quantizer. Two new theorems are also stated that solve the exact moment recovery problem. Finally, two approaches to this problem are presented with some simulation results: based on a 1-bit quantizer, that substantiate very well the theory. |
doi_str_mv | 10.1109/DSPWS.1996.555519 |
format | Conference Proceeding |
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Due to the predominance of digital, rather than analogue, signal processing, it is of practical importance to investigate the impact of amplitude quantization on the exact recovery of unquantized moments from their quantized counterparts. We extend the results of Cheded (see IEEE ICASSP'95, p.1816-19, Detroit, USA) to the more general and interesting case where no a priori knowledge of the quantizer input's membership of the class L/sub p/ is available. We introduce a new moment-sense input/output function h/sub p/(x) that statistically characterizes the quantizer. Two new theorems are also stated that solve the exact moment recovery problem. Finally, two approaches to this problem are presented with some simulation results: based on a 1-bit quantizer, that substantiate very well the theory.</description><identifier>ISBN: 9780780336292</identifier><identifier>ISBN: 0780336291</identifier><identifier>DOI: 10.1109/DSPWS.1996.555519</identifier><language>eng</language><publisher>IEEE</publisher><subject>Digital signal processing ; Higher order statistics ; Milling machines ; Modeling ; Petroleum ; Polynomials ; Quantization ; Signal processing ; Stochastic processes ; Systems engineering and theory</subject><ispartof>1996 IEEE Digital Signal Processing Workshop Proceedings, 1996, p.295-298</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/555519$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/555519$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Cheded, L.</creatorcontrib><title>On the exact recovery of higher-order moments of noisy signals</title><title>1996 IEEE Digital Signal Processing Workshop Proceedings</title><addtitle>DSPWS</addtitle><description>The importance of moments in science and engineering, as witnessed by the continuous and wide applicability of second-order moments (correlations) and the use of their higher-order brethren is clearly unquestionable. Due to the predominance of digital, rather than analogue, signal processing, it is of practical importance to investigate the impact of amplitude quantization on the exact recovery of unquantized moments from their quantized counterparts. We extend the results of Cheded (see IEEE ICASSP'95, p.1816-19, Detroit, USA) to the more general and interesting case where no a priori knowledge of the quantizer input's membership of the class L/sub p/ is available. We introduce a new moment-sense input/output function h/sub p/(x) that statistically characterizes the quantizer. Two new theorems are also stated that solve the exact moment recovery problem. Finally, two approaches to this problem are presented with some simulation results: based on a 1-bit quantizer, that substantiate very well the theory.</description><subject>Digital signal processing</subject><subject>Higher order statistics</subject><subject>Milling machines</subject><subject>Modeling</subject><subject>Petroleum</subject><subject>Polynomials</subject><subject>Quantization</subject><subject>Signal processing</subject><subject>Stochastic processes</subject><subject>Systems engineering and theory</subject><isbn>9780780336292</isbn><isbn>0780336291</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj91KxDAUhAMiKGsfQK_yAq05Jz9tbgRZf2FhhVW8XNrkdBuxrSRF7NtbWT8GBuZimGHsEkQBIOz13e7lfVeAtabQC2BPWGbLSiyS0qDFM5al9CEWlNZo4ZzdbAc-dcTpp3YTj-TGb4ozH1vehUNHMR-jp8j7sadhSn_5MIY08xQOQ_2ZLthpuxhl_75ibw_3r-unfLN9fF7fbvIAQk15jd56Y0pssNXoQLdCezAVKhASK_QAvpJOkTVOaeUElLVu0JZtQ7Tslyt2dewNRLT_iqGv47w_npS_gzRGrQ</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Cheded, L.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>On the exact recovery of higher-order moments of noisy signals</title><author>Cheded, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-a2d9d6672b2f52c15f05d16824103282d11d83c4e96c454c017a5b297fbee8073</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Digital signal processing</topic><topic>Higher order statistics</topic><topic>Milling machines</topic><topic>Modeling</topic><topic>Petroleum</topic><topic>Polynomials</topic><topic>Quantization</topic><topic>Signal processing</topic><topic>Stochastic processes</topic><topic>Systems engineering and theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Cheded, L.</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>Cheded, L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On the exact recovery of higher-order moments of noisy signals</atitle><btitle>1996 IEEE Digital Signal Processing Workshop Proceedings</btitle><stitle>DSPWS</stitle><date>1996</date><risdate>1996</risdate><spage>295</spage><epage>298</epage><pages>295-298</pages><isbn>9780780336292</isbn><isbn>0780336291</isbn><abstract>The importance of moments in science and engineering, as witnessed by the continuous and wide applicability of second-order moments (correlations) and the use of their higher-order brethren is clearly unquestionable. Due to the predominance of digital, rather than analogue, signal processing, it is of practical importance to investigate the impact of amplitude quantization on the exact recovery of unquantized moments from their quantized counterparts. We extend the results of Cheded (see IEEE ICASSP'95, p.1816-19, Detroit, USA) to the more general and interesting case where no a priori knowledge of the quantizer input's membership of the class L/sub p/ is available. We introduce a new moment-sense input/output function h/sub p/(x) that statistically characterizes the quantizer. Two new theorems are also stated that solve the exact moment recovery problem. Finally, two approaches to this problem are presented with some simulation results: based on a 1-bit quantizer, that substantiate very well the theory.</abstract><pub>IEEE</pub><doi>10.1109/DSPWS.1996.555519</doi><tpages>4</tpages></addata></record> |
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subjects | Digital signal processing Higher order statistics Milling machines Modeling Petroleum Polynomials Quantization Signal processing Stochastic processes Systems engineering and theory |
title | On the exact recovery of higher-order moments of noisy signals |
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