A Novel Periodically Nonuniform Sampling Method and System to Suppress the Spectrum Noise
The theory of nonuniformly sampling can process signals with components whose frequencies exceed the Nyquist limit. The disadvantage of nonuniformly sampling exist the noise in spectrum analysis. A novel periodically nonuniform sampling method is proposed in this paper. This method is very effective...
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creator | Anmin Wang Liangfu Chen Xiangping Cai |
description | The theory of nonuniformly sampling can process signals with components whose frequencies exceed the Nyquist limit. The disadvantage of nonuniformly sampling exist the noise in spectrum analysis. A novel periodically nonuniform sampling method is proposed in this paper. This method is very effective to suppress noise of spectrum by adopting the periodically nonuniform sampling so that it can detect the low amplitude signal. The real-time hardware processing system is development. The results of the experiments show that it is an effective method for signal detection and it can estimate exactly the frequencies of signals when the ratio of amplitude of signal exceeds 10 |
doi_str_mv | 10.1109/ICOSP.2006.344435 |
format | Conference Proceeding |
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The disadvantage of nonuniformly sampling exist the noise in spectrum analysis. A novel periodically nonuniform sampling method is proposed in this paper. This method is very effective to suppress noise of spectrum by adopting the periodically nonuniform sampling so that it can detect the low amplitude signal. The real-time hardware processing system is development. The results of the experiments show that it is an effective method for signal detection and it can estimate exactly the frequencies of signals when the ratio of amplitude of signal exceeds 10</description><identifier>ISSN: 2164-5221</identifier><identifier>ISBN: 0780397363</identifier><identifier>ISBN: 9780780397361</identifier><identifier>EISBN: 9780780397378</identifier><identifier>EISBN: 0780397371</identifier><identifier>DOI: 10.1109/ICOSP.2006.344435</identifier><identifier>LCCN: 06-927929</identifier><language>eng</language><subject>Background noise ; Frequency estimation ; Noise level ; Noise reduction ; Nonuniform sampling ; Real time systems ; Sampling methods ; Signal detection ; Signal processing ; Signal sampling</subject><ispartof>2006 8th international Conference on Signal Processing, 2006, Vol.1</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/4128771$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4128771$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Anmin Wang</creatorcontrib><creatorcontrib>Liangfu Chen</creatorcontrib><creatorcontrib>Xiangping Cai</creatorcontrib><title>A Novel Periodically Nonuniform Sampling Method and System to Suppress the Spectrum Noise</title><title>2006 8th international Conference on Signal Processing</title><addtitle>ICOSP</addtitle><description>The theory of nonuniformly sampling can process signals with components whose frequencies exceed the Nyquist limit. The disadvantage of nonuniformly sampling exist the noise in spectrum analysis. A novel periodically nonuniform sampling method is proposed in this paper. This method is very effective to suppress noise of spectrum by adopting the periodically nonuniform sampling so that it can detect the low amplitude signal. The real-time hardware processing system is development. The results of the experiments show that it is an effective method for signal detection and it can estimate exactly the frequencies of signals when the ratio of amplitude of signal exceeds 10</description><subject>Background noise</subject><subject>Frequency estimation</subject><subject>Noise level</subject><subject>Noise reduction</subject><subject>Nonuniform sampling</subject><subject>Real time systems</subject><subject>Sampling methods</subject><subject>Signal detection</subject><subject>Signal processing</subject><subject>Signal sampling</subject><issn>2164-5221</issn><isbn>0780397363</isbn><isbn>9780780397361</isbn><isbn>9780780397378</isbn><isbn>0780397371</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1T9tKw0AUXNGCteYDxJf9gdS9ZS-PJWgtVFuIPvhUNrsndiU3sqnQvzegwsAww8zAIHRHyZJSYh42-a7YLxkhcsmFEDy7QIlRmkzgRnGlL9HNv5D8Cs0ZlSLNGKMzNCcyNUwZZq5REuMXIYRTrSWXc_Sxwq_dN9R4D0PofHC2rs-T1Z7aUHVDgwvb9HVoP_ELjMfOY9t6XJzjCA0eO1yc-n6AGPF4BFz04Mbh1Ez1EOEWzSpbR0j-eIHenx7f8ud0u1tv8tU2DVRlYypK0MyWlTagmHWecVJ6SctMucrKzIBztjKOECu8n-5pKjJfTVEhhXOU8wW6_90NAHDoh9DY4XwQlGmlKP8BvgVYNA</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Anmin Wang</creator><creator>Liangfu Chen</creator><creator>Xiangping Cai</creator><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>A Novel Periodically Nonuniform Sampling Method and System to Suppress the Spectrum Noise</title><author>Anmin Wang ; Liangfu Chen ; Xiangping Cai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-4be82abf89e72acd230bd61b57cfa659eccaf9c00a4dd0398145df72a464cc133</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Background noise</topic><topic>Frequency estimation</topic><topic>Noise level</topic><topic>Noise reduction</topic><topic>Nonuniform sampling</topic><topic>Real time systems</topic><topic>Sampling methods</topic><topic>Signal detection</topic><topic>Signal processing</topic><topic>Signal sampling</topic><toplevel>online_resources</toplevel><creatorcontrib>Anmin Wang</creatorcontrib><creatorcontrib>Liangfu Chen</creatorcontrib><creatorcontrib>Xiangping Cai</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>Anmin Wang</au><au>Liangfu Chen</au><au>Xiangping Cai</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Novel Periodically Nonuniform Sampling Method and System to Suppress the Spectrum Noise</atitle><btitle>2006 8th international Conference on Signal Processing</btitle><stitle>ICOSP</stitle><date>2006</date><risdate>2006</risdate><volume>1</volume><issn>2164-5221</issn><isbn>0780397363</isbn><isbn>9780780397361</isbn><eisbn>9780780397378</eisbn><eisbn>0780397371</eisbn><abstract>The theory of nonuniformly sampling can process signals with components whose frequencies exceed the Nyquist limit. The disadvantage of nonuniformly sampling exist the noise in spectrum analysis. A novel periodically nonuniform sampling method is proposed in this paper. This method is very effective to suppress noise of spectrum by adopting the periodically nonuniform sampling so that it can detect the low amplitude signal. The real-time hardware processing system is development. The results of the experiments show that it is an effective method for signal detection and it can estimate exactly the frequencies of signals when the ratio of amplitude of signal exceeds 10</abstract><doi>10.1109/ICOSP.2006.344435</doi></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Background noise Frequency estimation Noise level Noise reduction Nonuniform sampling Real time systems Sampling methods Signal detection Signal processing Signal sampling |
title | A Novel Periodically Nonuniform Sampling Method and System to Suppress the Spectrum Noise |
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