Описание: Blind Signal Processing (BSP) is one of the emerging areas in Signal Processing. This volume extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation, Independent, Principal, Minor Component Analysis, and Multichannel Blind Deconvolution (MBD) and Equalization.
Описание: The 9th ISMM conference covered a very diverse collection of papers, bound together by the central themes of mathematical morphology, namely, the tre- ment of images in terms of set and lattice theory.
Автор: Stefano Cagnoni Название: Evolutionary Image Analysis and Signal Processing ISBN: 3642101852 ISBN-13(EAN): 9783642101854 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is mostly papers selected from EvoIASP 2007, an event dedicated to evolutionary image analysis and signal processing. It covers the latest on evolutionary computation techniques in computer vision, pattern recognition, image and signal processing.
Описание: Intends to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. This book summarizes work carried out in the field of theoretical signal and image processing.
Автор: Ernesto Damiani; Albert Dipanda; Kokou Yetongnon; Название: Signal Processing for Image Enhancement and Multimedia Processing ISBN: 1441944427 ISBN-13(EAN): 9781441944429 Издательство: Springer Рейтинг: Цена: 27951.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents the state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of image and video data. It is designed for a professional audience.
Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB(R), after first two volumes on the "Fundamentals" and "Advances and Applications: The Deterministic Case," focuses on the stochastic case. It will be of particular benefit to readers who already possess a good knowledge of MATLAB(R), a command of the fundamental elements of digital signal processing and who are familiar with both the fundamentals of continuous-spectrum spectral analysis and who have a certain mathematical knowledge concerning Hilbert spaces.
This volume is focused on applications, but it also provides a good presentation of the principles. A number of elements closer in nature to statistics than to signal processing itself are widely discussed. This choice comes from a current tendency of signal processing to use techniques from this field.
More than 200 programs and functions are provided in the MATLAB(R) language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject.
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