000 03656nam a22006015i 4500
001 978-3-319-92123-5
003 DE-He213
005 20220801213855.0
007 cr nn 008mamaa
008 180619s2019 sz | s |||| 0|eng d
020 _a9783319921235
_9978-3-319-92123-5
024 7 _a10.1007/978-3-319-92123-5
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621.382
_223
100 1 _aAverbuch, Amir Z.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934920
245 1 0 _aSpline and Spline Wavelet Methods with Applications to Signal and Image Processing
_h[electronic resource] :
_bVolume III: Selected Topics /
_cby Amir Z. Averbuch, Pekka Neittaanmäki, Valery A. Zheludev.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXXIV, 287 p. 131 illus., 91 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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-filter 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.
520 _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. .
650 0 _aSignal processing.
_94052
650 0 _aImage processing—Digital techniques.
_931565
650 0 _aComputer vision.
_934921
650 0 _aEngineering design.
_93802
650 0 _aAlgorithms.
_93390
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aEngineering Design.
_93802
650 2 4 _aAlgorithms.
_93390
700 1 _aNeittaanmäki, Pekka.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934922
700 1 _aZheludev, Valery A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934923
710 2 _aSpringerLink (Online service)
_934924
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319921228
776 0 8 _iPrinted edition:
_z9783319921242
776 0 8 _iPrinted edition:
_z9783030063672
856 4 0 _uhttps://doi.org/10.1007/978-3-319-92123-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75697
_d75697