On signals compression by EMD
In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs). Based on IMF properties, different coding strategies are presented....
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Veröffentlicht in: | Electronics letters 2012-10, Vol.48 (21), p.1329-1331 |
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description | In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs). Based on IMF properties, different coding strategies are presented. No assumptions concerning the linearity or the stationarity are made about the signal to be coded. Results obtained on ECG signals are presented and compared to those of wavelets coding. |
doi_str_mv | 10.1049/el.2012.0737 |
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Diagnosis aid ; Medical sciences ; Signal and communications theory ; Signal and Image processing ; Signal, noise ; Telecommunications and information theory</subject><ispartof>Electronics letters, 2012-10, Vol.48 (21), p.1329-1331</ispartof><rights>2015 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-545bb23526d4e6519f2af5ec7670c73ce1e52c56a383f98348fc0c225e33ea613</citedby><cites>FETCH-LOGICAL-c337t-545bb23526d4e6519f2af5ec7670c73ce1e52c56a383f98348fc0c225e33ea613</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,781,785,886,27929,27930</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26544745$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01081608$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>KHALDI, K</creatorcontrib><creatorcontrib>BOUDRAA, A. O</creatorcontrib><title>On signals compression by EMD</title><title>Electronics letters</title><description>In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs). Based on IMF properties, different coding strategies are presented. No assumptions concerning the linearity or the stationarity are made about the signal to be coded. Results obtained on ECG signals are presented and compared to those of wavelets coding.</description><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Coding, codes</subject><subject>Computerized, statistical medical data processing and models in biomedicine</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Engineering Sciences</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Medical management aid. 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Diagnosis aid</topic><topic>Medical sciences</topic><topic>Signal and communications theory</topic><topic>Signal and Image processing</topic><topic>Signal, noise</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KHALDI, K</creatorcontrib><creatorcontrib>BOUDRAA, A. O</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Electronics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KHALDI, K</au><au>BOUDRAA, A. 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subjects | Applied sciences Biological and medical sciences Coding, codes Computerized, statistical medical data processing and models in biomedicine Detection, estimation, filtering, equalization, prediction Engineering Sciences Exact sciences and technology Information, signal and communications theory Medical management aid. Diagnosis aid Medical sciences Signal and communications theory Signal and Image processing Signal, noise Telecommunications and information theory |
title | On signals compression by EMD |
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