Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Misiti Название: Wavelets and their Applications ISBN: 1905209312 ISBN-13(EAN): 9781905209316 Издательство: Wiley Рейтинг: Цена: 32464.00 р. Наличие на складе: Поставка под заказ.
Описание: The last 15 years have seen an explosion of interest in wavelets with applications in fields such as image compression, turbulence, human vision, radar and earthquake prediction. Wavelets represent an area that combines signal in image processing, mathematics, physics and electrical engineering.
Автор: Albert Boggess, Francis J. Narcowich Название: A First Course in Wavelets with Fourier Analysis, 2nd Edition ISBN: 0470431172 ISBN-13(EAN): 9780470431177 Издательство: Wiley Рейтинг: Цена: 17099.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting the subject from the point of view of signal analysis, A First Course in Wavelets with Fourier Analysis, 2nd Edition provides a self-contained mathematical treatment of the subject that is accessible to a broad audience.
Автор: Massopust, Peter R. Название: Fractal Functions, Fractal Surfaces, and Wavelets ISBN: 012804408X ISBN-13(EAN): 9780128044087 Издательство: Elsevier Science Рейтинг: Цена: 12462.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fractal Functions, Fractal Surfaces, and Wavelets, Second Edition, is the first systematic exposition of the theory of local iterated function systems, local fractal functions and fractal surfaces, and their connections to wavelets and wavelet sets. The book is based on Massopust’s work on and contributions to the theory of fractal interpolation, and the author uses a number of tools—including analysis, topology, algebra, and probability theory—to introduce readers to this exciting subject. . Though much of the material presented in this book is relatively current (developed in the past decades by the author and his colleagues) and fairly specialized, an informative background is provided for those entering the field. With its coherent and comprehensive presentation of the theory of univariate and multivariate fractal interpolation, this book will appeal to mathematicians as well as to applied scientists in the fields of physics, engineering, biomathematics, and computer science. In this second edition, Massopust includes pertinent application examples, further discusses local IFS and new fractal interpolation or fractal data, further develops the connections to wavelets and wavelet sets, and deepens and extends the pedagogical content.
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