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 #  AuthorTitleAccn#YearItem Type Claims
51 Chan, Y. T Wavelet Basics I00403 1995 eBook  
52 Smith, C.R Maximum Entropy and Bayesian Methods I00386 1992 eBook  
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51.    
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TitleWavelet Basics
Author(s)Chan, Y. T
PublicationNew York, NY, 1. Imprint: Springer 2. Springer US, 1995.
DescriptionIX, 134 p : online resource
Abstract NoteSince the study of wavelets is a relatively new area, much of the research coming from mathematicians, most of the literature uses terminology, concepts and proofs that may, at times, be difficult and intimidating for the engineer. Wavelet Basics has therefore been written as an introductory book for scientists and engineers. The mathematical presentation has been kept simple, the concepts being presented in elaborate detail in a terminology that engineers will find familiar. Difficult ideas are illustrated with examples which will also aid in the development of an intuitive insight. Chapter 1 reviews the basics of signal transformation and discusses the concepts of duals and frames. Chapter 2 introduces the wavelet transform, contrasts it with the short-time Fourier transform and clarifies the names of the different types of wavelet transforms. Chapter 3 links multiresolution analysis, orthonormal wavelets and the design of digital filters. Chapter 4 gives a tour d'horizon of topics of current interest: wavelet packets and discrete time wavelet transforms, and concludes with applications in signal processing
ISBN,Price9781461522133
Keyword(s)1. ACOUSTICS 2. ANALYSIS 3. Analysis (Mathematics) 4. EBOOK 5. EBOOK - SPRINGER 6. ELECTRICAL ENGINEERING 7. IMAGE PROCESSING 8. Image Processing and Computer Vision 9. MATHEMATICAL ANALYSIS 10. OPTICAL DATA PROCESSING 11. SIGNAL PROCESSING 12. Signal, Image and Speech Processing 13. Speech processing systems
Item TypeeBook
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
I00403     On Shelf    

52.    
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TitleMaximum Entropy and Bayesian Methods : Seattle, 1991
Author(s)Smith, C.R;Erickson, G;Neudorfer, Paul O
PublicationDordrecht, 1. Imprint: Springer 2. Springer Netherlands, 1992.
DescriptionX, 474 p : online resource
Abstract NoteBayesian probability theory and maximum entropy methods are at the core of a new view of scientific inference. These `new' ideas, along with the revolution in computational methods afforded by modern computers, allow astronomers, electrical engineers, image processors of any type, NMR chemists and physicists, and anyone at all who has to deal with incomplete and noisy data, to take advantage of methods that, in the past, have been applied only in some areas of theoretical physics. This volume records the Proceedings of Eleventh Annual `Maximum Entropy' Workshop, held at Seattle University in June, 1991. These workshops have been the focus of a group of researchers from many different fields, and this diversity is evident in this volume. There are tutorial papers, theoretical papers, and applications in a very wide variety of fields. Almost any instance of dealing with incomplete and noisy data can be usefully treated by these methods, and many areas of theoretical research are being enhanced by the thoughtful application of Bayes' theorem. The contributions contained in this volume present a state-of-the-art review that will be influential and useful for many years to come
ISBN,Price9789401722193
Keyword(s)1. Analytical chemistry 2. EBOOK 3. EBOOK - SPRINGER 4. Economic geology 5. Image Processing and Computer Vision 6. OPTICAL DATA PROCESSING 7. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 8. Statistics??
Item TypeeBook
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
I00386     On Shelf    

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