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020 _a9783319921235
024 7 _a10.1007/978-3-319-92123-5
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQA403.3
_b2019 EB
100 1 _aAverbuch, Amir,
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_948566
_d1947-
245 1 0 _aSpline and Spline Wavelet Methods with Applications to Signal and Image Processing :
_bVolume III : Selected Topics
_cby Amir Z. Averbuch, Pekka Neittaanmäki, Valery A. Zheludev
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019.
300 _a1 recurso en línea (XXIV, 287 páginas)
_b131 ilustraciones, 91 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
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 3 _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 7 _2embne
_aWavelets (Matemáticas)
_9161271
650 7 _2embne
_9667934
_aProceso de imágenes
_xModelos matemáticos
700 1 _997527
_aNeittaanmäki, P.
_q(Pekka)
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aZheludev, Valery A.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_948569
710 2 _aSpringerLink (Online service)
_9106996
776 0 8 _iPrinted edition:
_z9783030063672
776 0 8 _iPrinted edition:
_z9783319921228
776 0 8 _iPrinted edition:
_z9783319921242
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-92123-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Engineering
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b08/2019
_ejf
_zSI