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001 9910437920403321
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010   $a1-283-62378-1
010   $a9786613936233
010   $a1-4614-4145-5
024 7 $a10.1007/978-1-4614-4145-8
035   $a(CKB)2670000000246731
035   $a(EBL)1030886
035   $a(OCoLC)811563978
035   $a(SSID)ssj0000767107
035   $a(PQKBManifestationID)11414657
035   $a(PQKBTitleCode)TC0000767107
035   $a(PQKBWorkID)10733100
035   $a(PQKB)10469685
035   $a(DE-He213)978-1-4614-4145-8
035   $a(MiAaPQ)EBC1030886
035   $a(PPN)168299399
035   $a(EXLCZ)992670000000246731
100   $a20120727d2013      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aMultiscale signal analysis and modeling /$fXiaoping Shen, Ahmed I. Zayed, editors
210   $aNew York $cSpringer$d2013
215   $a1 online resource (387 p.)
300   $aDescription based upon print version of record.
311   $a1-4614-4144-7 
320   $aIncludes bibliographical references and index.
327   $apt. 1. Sampling -- pt. 2. Multiscale analysis -- pt. 3. Statistical analysis.
330   $aMultiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory. This book also: Discusses recently developed signal modeling techniques, such as the multiscale method for complex time series modeling, multiscale positive density estimations, Bayesian Shrinkage Strategies, and algorithms for data adaptive statistics Introduces new sampling algorithms for multidimensional signal processing Provides comprehensive coverage of wavelets with presentations on waveform design and modeling, wavelet analysis of ECG signals and wavelet filters Reviews features extraction and classification algorithms for multiscale signal and image processing using Local Discriminant Basis (LDB) Develops multi-parameter regularized extrapolating estimators in statistical learning theory Multiscale Signal Analysis and Modeling is an ideal book for graduate students and practitioners, especially those working in or studying the field of signal/image processing, telecommunication and applied statistics. It can also serve as a reference book for engineers, researchers and educators interested in mathematical and statistical modeling. .
606   $aSignal processing
606   $aSignal processing$xStatistical methods
615  0$aSignal processing.
615  0$aSignal processing$xStatistical methods.
676   $a621.3822
701   $aShen$b Xiaoping$01064250
701   $aZayed$b Ahmed I$0310862
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437920403321
996   $aMultiscale signal analysis and modeling$92537165
997   $aUNINA