Some discrete Fourier kind transforms based on FLOS
Some discrete Fourier kind transforms (DFKT) which include the discrete Fourier transform (DFT), discrete chirp Fourier transform (DCFT), three-order discrete chirp Fourier transform (TDCFT), discrete matched transform based on phase compensation (DMTPC) are studied in the symmetric alpha-stable ( S...
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| creator | Bian, Yong Zhou, Yinqing Li, Chunsheng |
| description | Some discrete Fourier kind transforms (DFKT) which include the discrete Fourier transform (DFT), discrete chirp Fourier transform (DCFT), three-order discrete chirp Fourier transform (TDCFT), discrete matched transform based on phase compensation (DMTPC) are studied in the symmetric alpha-stable ( SalphaS ) noise environment. Some DFKTs based on the fractional lower order statistics (FLOS) (DFKT_FLOS) are studied or presented. The DFT based on FLOS (DFT_FLOS) is studied. The DCFT based on FLOS (DCFT_FLOS), TDCFT based on FLOS (TDCFT_FLOS), DMTPC based on FLOS (DMTPC_FLOS) are presented. The simulation shows that in the impulsive noise environment, DFKT_FLOS outperforms their respective DFKT counterpart. |
| doi_str_mv | 10.1109/IJCNN.2008.4633770 |
| format | Conference Proceeding |
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Some DFKTs based on the fractional lower order statistics (FLOS) (DFKT_FLOS) are studied or presented. The DFT based on FLOS (DFT_FLOS) is studied. The DCFT based on FLOS (DCFT_FLOS), TDCFT based on FLOS (TDCFT_FLOS), DMTPC based on FLOS (DMTPC_FLOS) are presented. 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Some DFKTs based on the fractional lower order statistics (FLOS) (DFKT_FLOS) are studied or presented. The DFT based on FLOS (DFT_FLOS) is studied. The DCFT based on FLOS (DCFT_FLOS), TDCFT based on FLOS (TDCFT_FLOS), DMTPC based on FLOS (DMTPC_FLOS) are presented. The simulation shows that in the impulsive noise environment, DFKT_FLOS outperforms their respective DFKT counterpart.</description><subject>Artificial neural networks</subject><subject>Chirp</subject><subject>Discrete Fourier transforms</subject><subject>Fourier transforms</subject><subject>Frequency estimation</subject><subject>Noise</subject><subject>Transforms</subject><issn>2161-4393</issn><issn>1522-4899</issn><issn>2161-4407</issn><isbn>1424418208</isbn><isbn>9781424418206</isbn><isbn>9781424432196</isbn><isbn>1424432197</isbn><isbn>1424418216</isbn><isbn>9781424418213</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkD9PwzAUxM0_ibbwBWDxxJby7Gc79ogqCkVVOxTmyGmepUCTFDsd-PZEahHL3XA_nU7H2J2AqRDgHhdvs9VqKgHsVBnEPIczNhZKKiWsFOacjQYVmVKQX_wHYC__AnR4zcYpfQJIdA5HDDddQ7yq0zZST3zeHWJNkX_VbcX76NsUutgkXvpEFe9aPl-uNzfsKvhdotuTT9jH_Pl99pot1y-L2dMyqyWYPrNaQk6qzC16HYRzxhnCYdtWgMplCNZ4F5yuxBbQBg1emrJyvlSkodIKJ-zh2LuP3feBUl80w07a7XxL3SEVqDRKZWAA749gTUTFPtaNjz_F6SL8BWSsVCQ</recordid><startdate>20080601</startdate><enddate>20080601</enddate><creator>Bian, Yong</creator><creator>Zhou, Yinqing</creator><creator>Li, Chunsheng</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20080601</creationdate><title>Some discrete Fourier kind transforms based on FLOS</title><author>Bian, Yong ; Zhou, Yinqing ; Li, Chunsheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i206t-85207e4b783a5f199696e3407c10472ff86a9f95d1c038f50a26bd9ab4e50d543</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Artificial neural networks</topic><topic>Chirp</topic><topic>Discrete Fourier transforms</topic><topic>Fourier transforms</topic><topic>Frequency estimation</topic><topic>Noise</topic><topic>Transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Bian, Yong</creatorcontrib><creatorcontrib>Zhou, Yinqing</creatorcontrib><creatorcontrib>Li, Chunsheng</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><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bian, Yong</au><au>Zhou, Yinqing</au><au>Li, Chunsheng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Some discrete Fourier kind transforms based on FLOS</atitle><btitle>2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)</btitle><stitle>IJCNN</stitle><date>2008-06-01</date><risdate>2008</risdate><volume>10</volume><spage>78</spage><epage>82</epage><pages>78-82</pages><issn>2161-4393</issn><issn>1522-4899</issn><eissn>2161-4407</eissn><isbn>1424418208</isbn><isbn>9781424418206</isbn><isbn>9781424432196</isbn><isbn>1424432197</isbn><eisbn>1424418216</eisbn><eisbn>9781424418213</eisbn><abstract>Some discrete Fourier kind transforms (DFKT) which include the discrete Fourier transform (DFT), discrete chirp Fourier transform (DCFT), three-order discrete chirp Fourier transform (TDCFT), discrete matched transform based on phase compensation (DMTPC) are studied in the symmetric alpha-stable ( SalphaS ) noise environment. Some DFKTs based on the fractional lower order statistics (FLOS) (DFKT_FLOS) are studied or presented. The DFT based on FLOS (DFT_FLOS) is studied. The DCFT based on FLOS (DCFT_FLOS), TDCFT based on FLOS (TDCFT_FLOS), DMTPC based on FLOS (DMTPC_FLOS) are presented. The simulation shows that in the impulsive noise environment, DFKT_FLOS outperforms their respective DFKT counterpart.</abstract><pub>IEEE</pub><doi>10.1109/IJCNN.2008.4633770</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2161-4393 |
| ispartof | 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.78-82 |
| issn | 2161-4393 1522-4899 2161-4407 |
| language | eng |
| recordid | cdi_ieee_primary_4633770 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial neural networks Chirp Discrete Fourier transforms Fourier transforms Frequency estimation Noise Transforms |
| title | Some discrete Fourier kind transforms based on FLOS |
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