A new deniosing method in spread spectrum systems based on wavelet transform
Wavelets are good decorrelators capable of separating signal from noise and have been used in denoising methods recently. Spread spectrum communication systems have been used for both military and commercial applications for many years. These systems have the ability to work in very low SNRs and are...
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creator | Momen, A. Ahmadi-Noubari, H. Mirzaee, A. |
description | Wavelets are good decorrelators capable of separating signal from noise and have been used in denoising methods recently. Spread spectrum communication systems have been used for both military and commercial applications for many years. These systems have the ability to work in very low SNRs and are robust to intentional jamming. In such systems, noise cancellation can be very effective to improve performance. In this paper we propose a new denoising method in spread spectrum systems based on wavelet transform and compare it with general spread spectrum denoising methods |
doi_str_mv | 10.1109/CCECE.2005.1557408 |
format | Conference Proceeding |
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Spread spectrum communication systems have been used for both military and commercial applications for many years. These systems have the ability to work in very low SNRs and are robust to intentional jamming. In such systems, noise cancellation can be very effective to improve performance. In this paper we propose a new denoising method in spread spectrum systems based on wavelet transform and compare it with general spread spectrum denoising methods</description><identifier>ISSN: 0840-7789</identifier><identifier>ISBN: 0780388852</identifier><identifier>ISBN: 9780780388857</identifier><identifier>EISSN: 2576-7046</identifier><identifier>DOI: 10.1109/CCECE.2005.1557408</identifier><language>eng</language><publisher>IEEE</publisher><subject>Jamming ; Military communication ; Multiaccess communication ; Noise cancellation ; Noise reduction ; Signal detection ; Signal processing ; Spread spectrum communication ; Wavelet coefficients ; Wavelet transforms</subject><ispartof>Canadian Conference on Electrical and Computer Engineering, 2005, 2005, p.2127-2130</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/1557408$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4047,4048,27923,54918</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1557408$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Momen, A.</creatorcontrib><creatorcontrib>Ahmadi-Noubari, H.</creatorcontrib><creatorcontrib>Mirzaee, A.</creatorcontrib><title>A new deniosing method in spread spectrum systems based on wavelet transform</title><title>Canadian Conference on Electrical and Computer Engineering, 2005</title><addtitle>CCECE</addtitle><description>Wavelets are good decorrelators capable of separating signal from noise and have been used in denoising methods recently. Spread spectrum communication systems have been used for both military and commercial applications for many years. These systems have the ability to work in very low SNRs and are robust to intentional jamming. In such systems, noise cancellation can be very effective to improve performance. In this paper we propose a new denoising method in spread spectrum systems based on wavelet transform and compare it with general spread spectrum denoising methods</description><subject>Jamming</subject><subject>Military communication</subject><subject>Multiaccess communication</subject><subject>Noise cancellation</subject><subject>Noise reduction</subject><subject>Signal detection</subject><subject>Signal processing</subject><subject>Spread spectrum communication</subject><subject>Wavelet coefficients</subject><subject>Wavelet transforms</subject><issn>0840-7789</issn><issn>2576-7046</issn><isbn>0780388852</isbn><isbn>9780780388857</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkMlqwzAURUUHqJP2B9qNfsDu02RJy2DcAQzdZB_k6Kl1ieUguQ35-xqa1dlcDtxDyCODijGwz03TNm3FAVTFlNISzBUpuNJ1qUHW12QF2oAwxih-QwowEkqtjb0jq5y_AUCaWhak29CIJ-oxDlMe4icdcf6aPB0izceEzi_A_Zx-RprPecYx095l9HSK9OR-8YAznZOLOUxpvCe3wR0yPly4JtuXdtu8ld3H63uz6crBwlxyJg3TwaNldo-9kbz3WjnlfFh-Cc_tMrA8aAaCKY8GOQsieOuUEIb1Yk2e_rUDIu6OaRhdOu8uEcQffVtPIg</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Momen, A.</creator><creator>Ahmadi-Noubari, H.</creator><creator>Mirzaee, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>A new deniosing method in spread spectrum systems based on wavelet transform</title><author>Momen, A. ; Ahmadi-Noubari, H. ; Mirzaee, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-214817fde919ceb842bd75a5adf1093d2914892f710315de8e21f3fd9a53381b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Jamming</topic><topic>Military communication</topic><topic>Multiaccess communication</topic><topic>Noise cancellation</topic><topic>Noise reduction</topic><topic>Signal detection</topic><topic>Signal processing</topic><topic>Spread spectrum communication</topic><topic>Wavelet coefficients</topic><topic>Wavelet transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Momen, A.</creatorcontrib><creatorcontrib>Ahmadi-Noubari, H.</creatorcontrib><creatorcontrib>Mirzaee, A.</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>Momen, A.</au><au>Ahmadi-Noubari, H.</au><au>Mirzaee, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A new deniosing method in spread spectrum systems based on wavelet transform</atitle><btitle>Canadian Conference on Electrical and Computer Engineering, 2005</btitle><stitle>CCECE</stitle><date>2005</date><risdate>2005</risdate><spage>2127</spage><epage>2130</epage><pages>2127-2130</pages><issn>0840-7789</issn><eissn>2576-7046</eissn><isbn>0780388852</isbn><isbn>9780780388857</isbn><abstract>Wavelets are good decorrelators capable of separating signal from noise and have been used in denoising methods recently. Spread spectrum communication systems have been used for both military and commercial applications for many years. These systems have the ability to work in very low SNRs and are robust to intentional jamming. In such systems, noise cancellation can be very effective to improve performance. In this paper we propose a new denoising method in spread spectrum systems based on wavelet transform and compare it with general spread spectrum denoising methods</abstract><pub>IEEE</pub><doi>10.1109/CCECE.2005.1557408</doi><tpages>4</tpages></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Jamming Military communication Multiaccess communication Noise cancellation Noise reduction Signal detection Signal processing Spread spectrum communication Wavelet coefficients Wavelet transforms |
title | A new deniosing method in spread spectrum systems based on wavelet transform |
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