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001			281166
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008			150903s2005 xxu| o |||| 0|eng d
020			_a9780817644314 _99780817644314
024	7		_a10.1007/b139077 _2doi
035			_avtls000333484
039		9	_a201509031103 _bVLOAD _c201405070516 _dVLOAD _y201402041112 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA403-403.3
100	1		_aHogan, Jeffrey A. _eautor _9306620
245	1	0	_aTime-Frequency and Time-Scale Methods : _bAdaptive Decompositions, Uncertainty Principles, and Sampling / _cby Jeffrey A. Hogan, Joseph D. Lakey.
264		1	_aBoston, MA : _bBirkhäuser Boston, _c2005.
300			_axxii, 388 páginas 22 ilustraciones _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		_aApplied and Numerical Harmonic Analysis
500			_aSpringer eBooks
505	0		_aWavelets: Basic properties, parameterizations and sampling -- Derivatives and multiwavelets -- Sampling in Fourier and wavelet analysis -- Bases for time-frequency analysis -- Fourier uncertainty principles -- Function spaces and operator theory -- Uncertainty principles in mathematical physics.
520			_aDeveloped in this book are several deep connections between time--frequency (Fourier/Gabor) analysis and time--scale (wavelet) analysis, emphasizing the powerful adaptive methods that emerge when separate techniques from each area are properly assembled in a larger context. While researchers at the forefront of developments in time--frequency and time--scale analysis are well aware of the benefits of such a unified approach, there remains a knowledge gap in the larger community of practitioners about the precise strengths and limitations of Fourier/Gabor analysis versus wavelets. This book fills that gap by presenting the interface of time--frequency and time--scale methods as a rich area of work. Topics and Features: * Inclusion of historical, background material such as the pioneering ideas of von Neumann in quantum mechanics and Landau, Slepian, and Pollak in signal analysis * Presentation of self-contained core material on wavelets, sampling reconstruction of bandlimited signals, and local trigonometric and wavelet packet bases * Development of connections based on perspectives that emerged after the wavelet revolution of the 1980s * Integrated approach to the use of Fourier/Gabor methods and wavelet methods * Comprehensive treatment of Fourier uncertainty principles * Explanations at the end of each chapter addressing other major developments and new directions for research Applied mathematicians and engineers in signal/image processing and communication theory will find in the first half of the book an accessible presentation of principal developments in this active field of modern analysis, as well as the mathematical methods underlying real-world applications. Researchers and students in mathematical analysis, signal analysis, and mathematical physics will benefit from the coverage of deep mathematical advances featured in the second part of the work.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aLakey, Joseph D. _eautor _9306621
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780817642761
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b139077 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c281166 _d281166