000			03540nam a22004455i 4500
001			293551
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2013 gw | o |||| 0|eng d
020			_a9783319025858 _99783319025858
024	7		_a10.1007/9783319025858 _2doi
035			_avtls000346264
039		9	_a201509030914 _bVLOAD _c201405050332 _dVLOAD _y201402070853 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQC19.2-20.85
100	1		_aAmmari, Habib. _eautor _9304661
245	1	0	_aMathematical and Statistical Methods for Multistatic Imaging / _cby Habib Ammari, Josselin Garnier, Wenjia Jing, Hyeonbae Kang, Mikyoung Lim, Knut Sølna, Han Wang.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2013.
300			_axvii, 361 páginas 61 ilustraciones, 47 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aLecture Notes in Mathematics, _x0075-8434 ; _v2098
500			_aSpringer eBooks
505	0		_aMathematical and Probabilistic Tools -- Small Volume Expansions and Concept of Generalized Polarization Tensors -- Multistatic Configuration -- Localization and Detection Algorithms -- Dictionary Matching and Tracking Algorithms -- Imaging of Extended Targets -- Invisibility -- Numerical Implementations and Results -- References -- Index.
520			_aThis book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data. In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aGarnier, Josselin. _eautor _9300932
700	1		_aJing, Wenjia. _eautor _9326250
700	1		_aKang, Hyeonbae. _eautor _9304662
700	1		_aLim, Mikyoung. _eautor _9326251
700	1		_aSølna, Knut. _eautor _9300934
700	1		_aWang, Han. _eautor _9326252
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783319025841
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-319-02585-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c293551 _d293551