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Advances in Heuristic Signal Processing and Applications, Amitava Chatterjee; Hadi Nobahari; Patrick Siarry


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Автор: Amitava Chatterjee; Hadi Nobahari; Patrick Siarry
Название:  Advances in Heuristic Signal Processing and Applications
ISBN: 9783642378799
Издательство: Springer
Классификация:

ISBN-10: 364237879X
Обложка/Формат: Hardcover
Страницы: 387
Вес: 0.70 кг.
Дата издания: 18.06.2013
Язык: English
Размер: 231 x 158 x 28
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Chap. 1: Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design.- Chap. 2: Robust Reduced-Rank Adaptive LCMV Beamforming Algorithms Based on Joint Iterative Optimization of Parameters.- Chap. 3: Designing OFDM Radar Waveform for Target Detection Using Multiobjective Optimization.- Chap. 4: Multiobject Tracking using Particle Swarm Optimization on Target Interactions.- Chap. 5: A Comparative Study of Modified BBO Variants and Other Metaheuristics for Optimal Power Allocation in Wireless Sensor Networks.- Chap. 6: Joint Optimization of Detection and Tracking in Adaptive Radar Systems.- Chap. 7: Iterative Design of FIR Filters.- Chap. 8: A Metaheuristic Approach to Two-Dimensional Recursive Digital Filter Design.- Chap. 9: A Survey of Kurtosis Optimization Schemes for MISO Source Separation and Equalization.- Chap. 10: Swarm Intelligence Techniques Applied to Nonlinear Systems State Estimation.- Chap. 11: Heuristic Optimal Design of Multiplier-less Digital Filter.- Chap. 12: Hybrid Correlation-Neural Network Synergy for Gait Signal Classification.- Chap. 13: Image Denoising Using Wavelets: Application in Medical Imaging.- Chap. 14: Signal Separation with A Priori Knowledge Using Sparse Representation.- Chap. 15: Definition of a Discrete Color Monogenic Wavelet Transform.- Chap. 16: On Image Matching and Feature Tracking for Embedded Systems: State of the Art.



Heuristic Search,

Автор: Stefan Edelkamp
Название: Heuristic Search,
ISBN: 0123725127 ISBN-13(EAN): 9780123725127
Издательство: Elsevier Science
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Цена: 66690.00 T
Наличие на складе: Есть
Описание: Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. This title presents a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems.

Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications

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
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications

Автор: Dmitri A. Viattchenin
Название: A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications
ISBN: 364244301X ISBN-13(EAN): 9783642443015
Издательство: Springer
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Цена: 113180.00 T
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Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.

Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search

Автор: David L. Woodruff
Название: Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search
ISBN: 1441950230 ISBN-13(EAN): 9781441950239
Издательство: Springer
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Цена: 194730.00 T
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Описание: Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities.

Heuristic Approach to Possibilistic Clustering: Algorithms a

Автор: Viattchenin Dmitri A
Название: Heuristic Approach to Possibilistic Clustering: Algorithms a
ISBN: 3642355358 ISBN-13(EAN): 9783642355356
Издательство: Springer
Рейтинг:
Цена: 130610.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.

Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

Автор: Frumen Olivas; Fevrier Valdez; Oscar Castillo; Pat
Название: Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
ISBN: 3319708503 ISBN-13(EAN): 9783319708508
Издательство: Springer
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Цена: 51230.00 T
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Описание: Introduction.- Theory and Background.- Problems Statement.- Methodology.- Simulation Results.- Statistical Analysis and Comparison of Results.

Multiobjective Heuristic Search

Автор: Wolfgang Bibel; Pallab Dasgupta; Rudolf Kruse; P.
Название: Multiobjective Heuristic Search
ISBN: 3528057084 ISBN-13(EAN): 9783528057084
Издательство: Springer
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Цена: 81050.00 T
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Описание: Solutions to most real-world optimization problems involve a trade-offbetween multiple conflicting and non-commensurate objectives. Some ofthe most challenging ones are area-delay trade-off in VLSI synthesisand design space exploration, time-space trade-off in computation, andmulti-strategy games.

A Theory of Heuristic Information in Game-Tree Search

Автор: Chun-Hung Tzeng
Название: A Theory of Heuristic Information in Game-Tree Search
ISBN: 3642648126 ISBN-13(EAN): 9783642648120
Издательство: Springer
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Цена: 81050.00 T
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Описание: A solution to this problem is a sequence of moves leading from the initial configuration to the goal configuration, and an optimal solution is a solution having the smallest number of moves.

Meta-Heuristics

Автор: Ibrahim H. Osman; James P. Kelly
Название: Meta-Heuristics
ISBN: 1461285879 ISBN-13(EAN): 9781461285878
Издательство: Springer
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Цена: 343800.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids.

Advances and Applications of Optimised Algorithms in Image Processing

Автор: Diego Oliva; Erik Cuevas
Название: Advances and Applications of Optimised Algorithms in Image Processing
ISBN: 3319485490 ISBN-13(EAN): 9783319485492
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.

9th International Conference on Robotic, Vision, Signal Processing and Power Applications

Автор: Ibrahim
Название: 9th International Conference on Robotic, Vision, Signal Processing and Power Applications
ISBN: 9811017190 ISBN-13(EAN): 9789811017193
Издательство: Springer
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Цена: 326090.00 T
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Описание: The proceeding is a collection of research papers presented, at the 9th International Conference on Robotics, Vision, Signal Processing & Power Applications (ROVISP 2016), by researchers, scientists, engineers, academicians as well as industrial professionals from all around the globe to present their research results and development activities for oral or poster presentations. The topics of interest are as follows but are not limited to: • Robotics, Control, Mechatronics and Automation• Vision, Image, and Signal Processing • Artificial Intelligence and Computer Applications• Electronic Design and Applications • Telecommunication Systems and Applications• Power System and Industrial Applications• Engineering Education

Advances in Heuristic Signal Processing and Applications

Автор: Amitava Chatterjee; Hadi Nobahari; Patrick Siarry
Название: Advances in Heuristic Signal Processing and Applications
ISBN: 364244525X ISBN-13(EAN): 9783642445255
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
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Описание:

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems.

In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking.

The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing.



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