04006nam 2200577 450 991027087130332120230125234053.01-118-70583-11-118-70582-31-118-70581-510.1002/9781118705810(CKB)4330000000006847(CaBNVSL)mat08292908(IDAMS)0b00006486c75dcd(IEEE)8292908(Au-PeEL)EBL5210130(CaPaEBR)ebr11491027(OCoLC)1017489244(CaSebORM)9781118611791(MiAaPQ)EBC5210130(PPN)249919567(EXLCZ)99433000000000684720180227d2018 uy engurcnu||||||||rdacontentrdamediardacarrierDigital signal processing with kernel methods /by Dr. José Luis Rojo-Álvarez, Dr. Manel Martínez-Ramón, Dr. Jordi Muñoz-Marí, Dr. Gustau Camps-VallsFirst edition.Hoboken, New Jersey :Wiley,2018.[Piscataqay, New Jersey] :IEEE Xplore,[2018]1 online resource (668 pages) illustrations1-118-61179-9 Includes bibliographical references and index.From signal processing to machine learning -- Introduction to digital signal processing -- Signal processing models -- Kernel functions and reproducing kernel hilbert spaces -- A SVM signal estimation framework -- Reproducing kernel hilbert space models for signal processing -- Dual signal models for signal processing -- Advances in kernel regression and function approximation -- Adaptive kernel learning for signal processing -- SVM and kernel classification algorithms -- Clustering and anomaly detection with kernels -- Kernel feature extraction in signal processing. A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research. Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors. . Presents the necessary basic ideas from both digital signal processing and machine learning concepts. Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing. Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.Signal processingDigital techniquesSignal processingDigital techniques.621.38220285Rojo-Álvarez José Luis1972-986147Martínez-Ramón Manel1968-Muñoz Marí JordiCamps-Valls Gustavo1972-CaBNVSLCaBNVSLCaBNVSLBOOK9910270871303321Digital signal processing with kernel methods2254005UNINA01431nam0 22003011i 450 UON0007374220231205102400.86820020107d1936 |0itac50 baitaIT||||k |||||ˆLa ‰lingua somala parlata nella Somalia settentrionale e nell'OgadenMarcello OranoRomaCasa Editrice Mediterranea1936182 p.17 cm*Data inesattaIT-UONSI ET COIIB som/009*LINGUA SOMALAGrammaticaUONC018767FIITRomaUONL000004493.5LINGUE CUSCITICHE / LINGUA OROMO / LINGUA SOMALA / LINGUA GALLA21ORANOMarcelloUONV048474659260Casa Editrice MediterraneaUONV257827650ITSOL20240220RICAhttp://digituno.unior.it/document/1181http://digituno.unior.it/document/1181http://digituno.unior.it/admin/files/show/4463http://digituno.unior.it/admin/files/show/4463SIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIhttp://digituno.unior.it/admin/files/show/4463UON00073742SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI ET CO II B som 009* SI MR 6150 7 009* *Data inesattaLingua somala parlata nella Somalia settentrionale e nell'Ogaden1165439UNIOR