Fundamentals of Signal Processing in Generalized Metric Spaces: Algorithms and Applications, Popoff Andrey

Автор: Andrzej Cichocki
Название: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
ISBN: 0471607916 ISBN-13(EAN): 9780471607915
Издательство: Wiley
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Цена: 152010.00 T
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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.

Автор: Anastassiou George a.
Название: Generalized Fractional Calculus: New Advancements and Applications
ISBN: 3030569616 ISBN-13(EAN): 9783030569617
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book applies generalized fractional differentiation techniques of Caputo, Canavati and Conformable types to a great variety of integral inequalities e.g. The second part of the book deals with the quantitative fractional Korovkin type approximation of stochastic processes and lays there the foundations of stochastic fractional calculus.

Автор: MUKUNDA DAS
Название: ACOUSTO-OPTIC SIGNAL PROCESSING: FUNDAMENTALS AND APPLICATIONS
ISBN: 0890064644 ISBN-13(EAN): 9780890064641
Издательство: Artech House
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Цена: 32030.00 T
Наличие на складе: Нет в наличии.
Описание: Gain fast access to the underlying theory behind acousto-optic devices with this book. It illustrates the design process with numerical examples and references to pertinent literature, and offers coverage of the fundamentals of acousto-optic interaction theory as well as a discussion of surface wave devices and many of the basic acousto-optic devices.

Автор: John Minkoff
Название: Signal Processing Fundamentals and Applications for Communications and Sensing Systems
ISBN: 1580533604 ISBN-13(EAN): 9781580533607
Издательство: Artech House
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Цена: 155230.00 T
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Описание: This cutting-edge book is a clear and thorough exposition of signal-processing fundamentals for communications and major sensing systems. Based on the author’s earlier book in this area, this revised and expanded resource offers you expert guidance in the detection of optical, acoustic and radio-frequency signals in noise. It covers digital filtering and parameter estimation, and helps you with problems associated with radar system design, including search, tracking and measurement ambiguity.

Автор: Emmanouil Amolochitis
Название: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining
ISBN: 8793609647 ISBN-13(EAN): 9788793609648
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.

Автор: Bogdan Dumitrescu; Paul Irofti
Название: Dictionary Learning Algorithms and Applications
ISBN: 3319786733 ISBN-13(EAN): 9783319786735
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification. Several types of dictionary structures are treated, including shift invariant; orthogonal blocks or factored dictionaries; and separable dictionaries for multidimensional signals. Nonlinear extensions such as kernel dictionary learning can also be found in the book. The discussion of all these dictionary types and algorithms is enriched with a thorough numerical comparison on several classic problems, thus showing the strengths and weaknesses of each algorithm. A few selected applications, related to classification, denoising and compression, complete the view on the capabilities of the presented dictionary learning algorithms. The book is accompanied by code for all algorithms and for reproducing most tables and figures.Presents all relevant dictionary learning algorithms - for the standard problem and its main variations - in detail and ready for implementation;Covers all dictionary structures that are meaningful in applications;Examines the numerical properties of the algorithms and shows how to choose the appropriate dictionary learning algorithm.

Автор: Wu, Jianqi
Название: Advanced metric wave radar
ISBN: 9811076464 ISBN-13(EAN): 9789811076466
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book systematically describes advanced metric wave radar and its practical applications, offering a comprehensive introduction to the engineering design methods from the perspectives of system design, antenna/feed and transmit/receive subsystems, as well as mechanical structure design. Focusing on the height-finding method, it describes in detail how the super-resolution technique can be used to solve the problem of low-angle height finding in metric wave radar. It also discusses the anti-jamming method for the unique jamming environment. Further, it presents narrowband target recognition methods to overcome the limitations of narrow absolute bandwidth in metric wave radar and to further explore the technique’s potential. Cooperative detection for metric wave radar netting is also addressed, and the main experimental results are included. The book offers a valuable resource for professional engineers, researchers and teachers, as well as graduate students engaged in radar system engineering, electronic engineering, and signal processing.

Автор: Hamilton B. Carter; Shankar G. Hemmady
Название: Metric Driven Design Verification
ISBN: 1441942556 ISBN-13(EAN): 9781441942555
Издательство: Springer
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Цена: 113180.00 T
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Описание: The purpose of the book is to train verification engineers on the breadth of technologies available and to give them a utilitarian methodology for making effective use of those technologies. The book is easy to understand and a joy to read.

Автор: Ohta, Jun
Название: Smart CMOS Image Sensors and Applications, Second Edition
ISBN: 1498764649 ISBN-13(EAN): 9781498764643
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Описание: This book provides the state-of-the-art of CMOS image sensors and applications. The book describes the fundamentals of CMOS image sensors, optoelectronic device physics, and introduces typical CMOS image sensor structures, such as an active pixel sensor (APS).

Автор: Manoj Sachdev; Jose Pineda de Gyvez
Название: Defect-Oriented Testing for Nano-Metric CMOS VLSI Circuits
ISBN: 1441942858 ISBN-13(EAN): 9781441942852
Издательство: Springer
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Цена: 174130.00 T
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Описание: The 2nd edition of defect oriented testing has been extensively updated. New chapters on Functional, Parametric Defect Models and Inductive fault Analysis and Yield Engineering have been added to provide a link between defect sources and yield.

Автор: Manas Kamal Bhuyan
Название: Computer Vision and Image Processing: Fundamentals and Applications
ISBN: 0815370849 ISBN-13(EAN): 9780815370840
Издательство: Taylor&Francis
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Цена: 142910.00 T
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Описание: The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts.

Автор: Oleg Sergiyenko, Moises Rivas-Lopez, Wendy Flores-
Название: Control and Signal Processing Applications for Mobile and Aerial Robotic Systems
ISBN: 1522599258 ISBN-13(EAN): 9781522599258
Издательство: Mare Nostrum (Eurospan)
Цена: 163550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As technology continues to develop, certain innovations are beginning to cover a wide range of applications, specifically mobile robotic systems. The boundaries between the various automation methods and their implementations are not strictly defined, with overlaps occurring. Specificity is required regarding the research and development of android systems and how they pertain to modern science. Control and Signal Processing Applications for Mobile and Aerial Robotic Systems is a pivotal reference source that provides vital research on the current state of control and signal processing of portable robotic designs. While highlighting topics such as digital systems, control theory, and mathematical methods, this publication explores original inquiry contributions and the instrumentation of mechanical systems in the industrial and scientific fields. This book is ideally designed for technicians, engineers, industry specialists, researchers, academicians, and students seeking current research on today's execution of mobile robotic schemes.