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008 | 150903s2005 xxk| o |||| 0|eng d | ||
020 |
_a9781846281402 _99781846281402 |
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024 | 7 |
_a10.1007/1846281407 _2doi |
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035 | _avtls000343683 | ||
039 | 9 |
_a201509030252 _bVLOAD _c201404120947 _dVLOAD _c201404090725 _dVLOAD _y201402061202 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aQ342 | |
100 | 1 |
_aJansen, Maarten. _eautor _9322672 |
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245 | 1 | 0 |
_aSecond Generation Wavelets and Applications / _cby Maarten Jansen, Patrick Oonincx. |
264 | 1 |
_aLondon : _bSpringer London, _c2005. |
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300 |
_ax, 142 páginas 58 ilustraciones _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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500 | _aSpringer eBooks | ||
505 | 0 | _aThe Classical Wavelet Transform for Continuous-time and Discrete-time Signals -- Second-generation Wavelets -- Nonlinear and Adaptive Lifting -- Numerical Condition -- Applications of Nonlinear Lifting in Imaging. | |
520 | _aWavelets are mathematical functions that divide data into different frequency components, and then study each component with a resolution matched to its scale. First generation wavelets have proved useful in many applications in engineering and computer science. However they cannot be used with non-linear, data-adaptive decompositions and non-equispaced data Second Generation Wavelets and Applications introduces "second generation wavelets" and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics. This book details the mathematical fundamentals of the lifting transform and illustrates the latest applications of the transform in signal and image processing, numerical analysis, scattering data smoothing and rendering of computer images. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aOonincx, Patrick. _eautor _9322673 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9781852339166 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-84628-140-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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