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010   $a3-319-92123-1
024 7 $a10.1007/978-3-319-92123-5
035   $a(CKB)4100000004836175
035   $a(MiAaPQ)EBC5434504
035   $a(DE-He213)978-3-319-92123-5
035   $a(PPN)229498094
035   $a(EXLCZ)994100000004836175
100   $a20180619d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSpline and Spline Wavelet Methods with Applications to Signal and Image Processing $eVolume III: Selected Topics /$fby Amir Z. Averbuch, Pekka Neittaanmäki, Valery A. Zheludev
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (xxiv, 287 pages)
311   $a3-319-92122-3 
320   $aIncludes bibliographical references and index.
327   $aChapter 1. Introduction: Periodic Signals and Filters -- Chapter 2. Periodic Polynomial Splines -- Chapter 3. Periodic Discrete and Discrete-time Splines -- Chapter 4. Periodic Orthogonal Wavelets and Wavelet Packets -- Chapter 5. Two-dimensional Orthogonal Wavelets and Wavelet Packets -- Chapter 6. Local Splines on Non-uniform Grid -- Chapter 7. Spline-based Wavelet Transforms -- Chapter 8. Biorthogonal Wavelet Transforms Originating from Discrete and Discrete-time Splines -- Chapter 9. Wavelet Frames Generated by Spline-based p-?lter Banks -- Chapter 10. Snapshot Spectral Imaging -- Chapter 11. Delineation of Malignant Skin Tumors by Hyperspectral Imaging -- Chapter 12. Acoustic Detection of Moving Vehicles -- Chapter 13. Detection of Incipient Bearing Fault in a Slowly Rotating Machine Using Spline Wavelet Packets.
330   $aThis book provides a practical guide, complete with accompanying Matlab software, to many different types of polynomial and discrete splines and spline-based wavelets, multiwavelets and wavelet frames in signal and image processing applications. In self-contained form, it briefly outlines a broad range of polynomial and discrete splines with equidistant nodes and their signal-processing-relevant properties. In particular, interpolating, smoothing, and shift-orthogonal splines are presented. .
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aOptical data processing
606   $aEngineering design
606   $aAlgorithms
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005
606   $aEngineering Design$3https://scigraph.springernature.com/ontologies/product-market-codes/T17020
606   $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aOptical data processing.
615  0$aEngineering design.
615  0$aAlgorithms.
615 14$aSignal, Image and Speech Processing.
615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics.
615 24$aEngineering Design.
615 24$aAlgorithms.
676   $a511.42
700   $aAverbuch$b Amir Z$4aut$4http://id.loc.gov/vocabulary/relators/aut$0971983
702   $aNeittaanmäki$b Pekka$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aZheludev$b Valery A$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910337648703321
996   $aSpline and Spline Wavelet Methods with Applications to Signal and Image Processing$92209907
997   $aUNINA