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Application of FPGA to Real?Time Machine Learning, Piotr Antonik



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Цена: 16334р.
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Автор: Piotr Antonik   (Пётр Антоник)
Название:  Application of FPGA to Real?Time Machine Learning
Перевод названия: Пётр Антоник: Применение FPGA к машинному обучению в реальном времени
ISBN: 9783030081645
Издательство: Springer
Классификация:
ISBN-10: 3030081648
Обложка/Формат: Soft cover
Страницы: 171
Вес: 0.308 кг.
Дата издания: 2018
Серия: Springer Theses
Язык: English
Издание: Softcover reprint of
Иллюстрации: 8 illustrations, color; 60 illustrations, black and white; xxii, 171 p. 68 illus., 8 illus. in color.
Размер: 234 x 156 x 11
Читательская аудитория: General (us: trade)
Основная тема: Physics
Подзаголовок: Hardware Reservoir Computers and Software Image Processing
Ссылка на Издательство: Link
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Поставляется из: Германии
Дополнительное описание: Introduction.- Online Training of a Photonic Reservoir Computer.- Backpropagation with Photonics.- Photonic Reservoir Computer with Output Feedback.- Towards Online-Trained Analogue Readout Layer.- Real-Time Automated Tissue Characterisation for Intravasc




Acceleration of Biomedical Image Processing with Dataflow on FPGAs

Автор: GRULL & KEBSCHULL
Название: Acceleration of Biomedical Image Processing with Dataflow on FPGAs
ISBN: 8793379366 ISBN-13(EAN): 9788793379367
Издательство: Eurospan
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Цена: 11044 р.
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Описание: Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book reconfigurable computing with FPGAs is discussed as an alternative to multi-core processing and graphics card accelerators. Instead of adjusting the application to the hardware, FPGAs allow the hardware to also be adjusted to the problem. Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep pipelines that can be executed with very high parallelism. The transformation process is discussed from initial design decisions to working implementations. Two example applications from stochastic localization microscopy and electron tomography illustrate the approach further. Topics discussed in the book include:Reconfigurable hardwareDataflow computingImage processingApplication acceleration.

Application of FPGA to Real?Time Machine Learning

Автор: Antonik
Название: Application of FPGA to Real?Time Machine Learning
ISBN: 3319910523 ISBN-13(EAN): 9783319910529
Издательство: Springer
Рейтинг:
Цена: 16334 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Introduction.- Online Training of a Photonic Reservoir Computer.- Backpropagation with Photonics.- Photonic Reservoir Computer with Output Feedback.- Towards Online-Trained Analogue Readout Layer.- Real-Time Automated Tissue Characterisation for Intravascular OCT Scans.- Conclusion and Perspectives.

FPGA to High Speed Adc Data Streaming

Автор: Gottardo Marco
Название: FPGA to High Speed Adc Data Streaming
ISBN: 0244366896 ISBN-13(EAN): 9780244366896
Издательство: Неизвестно
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Цена: 7245 р.
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Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA

Автор: Pedro Ponce-Cruz; Arturo Molina; Brian MacCleery
Название: Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA
ISBN: 3319266551 ISBN-13(EAN): 9783319266558
Издательство: Springer
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Цена: 17819 р.
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Описание: Downloadable LabVIEW toolkit and solutions to exercises

Автор: Preeti Sharma, Rajit Nair
Название: FPGA Algorithms and Applications for the Internet of Things
ISBN: 1522598073 ISBN-13(EAN): 9781522598077
Издательство: Eurospan
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Цена: 27609 р.
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Описание: In the research area of computer science, practitioners are constantly searching for faster platforms with pertinent results. With analytics that span environmental development to computer hardware emulation, problem-solving algorithms are in high demand. Field-Programmable Gate Array (FPGA) is a promising computing platform that can be significantly faster for some applications and can be applied to a variety of fields.

FPGA Algorithms and Applications for the Internet of Things provides emerging research exploring the theoretical and practical aspects of computable algorithms and applications within robotics and electronics development. Featuring coverage on a broad range of topics such as neuroscience, bioinformatics, and artificial intelligence, this book is ideally designed for computer science specialists, researchers, professors, and students seeking current research on cognitive analytics and advanced computing.

FPGA-BASED Hardware Accelerators

Автор: Iouliia Skliarova; Valery Sklyarov
Название: FPGA-BASED Hardware Accelerators
ISBN: 303020720X ISBN-13(EAN): 9783030207205
Издательство: Springer
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Цена: 17819 р.
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Описание: This book suggests and describes a number of fast parallel circuits for data/vector processing using FPGA-based hardware accelerators. Three primary areas are covered: searching, sorting, and counting in combinational and iterative networks. These include the application of traditional structures that rely on comparators/swappers as well as alternative networks with a variety of core elements such as adders, logical gates, and look-up tables. The iterative technique discussed in the book enables the sequential reuse of relatively large combinational blocks that execute many parallel operations with small propagation delays. For each type of network discussed, the main focus is on the step-by-step development of the architectures proposed from initial concepts to synthesizable hardware description language specifications. Each type of network is taken through several stages, including modeling the desired functionality in software, the retrieval and automatic conversion of key functions, leading to specifications for optimized hardware modules. The resulting specifications are then synthesized, implemented, and tested in FPGAs using commercial design environments and prototyping boards. The methods proposed can be used in a range of data processing applications, including traditional sorting, the extraction of maximum and minimum subsets from large data sets, communication-time data processing, finding frequently occurring items in a set, and Hamming weight/distance counters/comparators. The book is intended to be a valuable support material for university and industrial engineering courses that involve FPGA-based circuit and system design.

FPGA-based Digital Convolution for Wireless Applications

Автор: Lei Guan
Название: FPGA-based Digital Convolution for Wireless Applications
ISBN: 3319519999 ISBN-13(EAN): 9783319519999
Издательство: Springer
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Цена: 17819 р.
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Описание: Preface.- Chapter 1. Introduction.- Chapter 2. FPGA and Digital Signal Processing.- Chapter 3. FPGA-based Linear Convolution.- Chapter 4. FPGA-based Nonlinear Convolution.- Chapter 5. Advanced FPGA-based Fast Linear Convolution.- Chapter 6. FPGA-based DSP System Verification.- References.

FPGA Algorithms and Applications for the Internet of Things

Автор: Ching Wa Daniel Ng
Название: FPGA Algorithms and Applications for the Internet of Things
ISBN: 1522598065 ISBN-13(EAN): 9781522598060
Издательство: Eurospan
Рейтинг:
Цена: 36064 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In the research area of computer science, practitioners are constantly searching for faster platforms with pertinent results. With analytics that span environmental development to computer hardware emulation, problem-solving algorithms are in high demand. Field-Programmable Gate Array (FPGA) is a promising computing platform that can be significantly faster for some applications and can be applied to a variety of fields.

FPGA Algorithms and Applications in the IoT, AI, and High-Performance Computing provides emerging research exploring the theoretical and practical aspects of computable algorithms and applications within robotics and electronics development. Featuring coverage on a broad range of topics such as neuroscience, bioinformatics, and artificial intelligence, this book is ideally designed for computer science specialists, researchers, professors, and students seeking current research on cognitive analytics and advanced computing.

The Design Warrior`s Guide to FPGAs,

Автор: Clive "Max " Maxfield
Название: The Design Warrior`s Guide to FPGAs,
ISBN: 0750676043 ISBN-13(EAN): 9780750676045
Издательство: Elsevier Science
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Цена: 8606 р.
Наличие на складе: Поставка под заказ.

Описание: Field Programmable Gate Arrays (FPGAs) are devices that provide a fast, low-cost way for embedded system designers to customize products and deliver new versions with upgraded features, because they can handle very complicated functions, and be reconfigured an infinite number of times. In addition to introducing the various architectural features available in the latest generation of FPGAs, The Design Warrior's Guide to FPGAs also covers different design tools and flows.
This book covers information ranging from schematic-driven entry, through traditional HDL/RTL-based simulation and logic synthesis, all the way up to the current state-of-the-art in pure C/C++ design capture and synthesis technology. Also discussed are specialist areas such as mixed hardward/software and DSP-based design flows, along with innovative new devices such as field programmable node arrays (FPNAs).
Clive "Max" Maxfield is a bestselling author and engineer with a large following in the electronic design automation (EDA)and embedded systems industry. In this comprehensive book, he covers all the issues of interest to designers working with, or contemplating a move to, FPGAs in their product designs. While other books cover fragments of FPGA technology or applications this is the first to focus exclusively and comprehensively on FPGA use for embedded systems.

  • First book to focus exclusively and comprehensively on FPGA use in embedded designs
  • World-renowned best-selling author
  • Will help engineers get familiar and succeed with this new technology by providing much-needed advice on choosing the right FPGA for any design project
Real-Time Road Profile Identification and Monitoring: Theory and Application

Автор: Yechen Qin, Hong Wang, Yanjun Huang, Xiaolin Tang
Название: Real-Time Road Profile Identification and Monitoring: Theory and Application
ISBN: 1681734834 ISBN-13(EAN): 9781681734835
Издательство: Eurospan
Цена: 15358 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Ever stringent vehicle safety legislation and consumer expectations inspire the improvement of vehicle dynamic performance, which result in a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assistance for vehicle companies and government departments to develop proper dynamic control algorithms, and to fix roads in a timely manner and at the minimum cost, respectively. As a result, developing easy-to-use and accurate road estimation methods are of great importance in terms of reducing the cost related to vehicles and road maintenance as well as improving passenger comfort and handling capacity. A few books have already been published on road profile modeling and the influence of road unevenness on vehicle response. However, there is still room to discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics. In this book, we use several generalized vehicle models to demonstrate the concepts, methods, and applications of vehicle response-based road estimation algorithms. In addition, necessary tools, algorithms, and methods are illustrated, and the benefits of the road estimation algorithms are evaluated. Furthermore, several case studies of controllable suspension systems to improve vehicle vertical dynamics are presented.

Real-Time Road Profile Identification and Monitoring: Theory and Application

Автор: Yechen Qin, Hong Wang, Yanjun Huang, Xiaolin Tang
Название: Real-Time Road Profile Identification and Monitoring: Theory and Application
ISBN: 1681734818 ISBN-13(EAN): 9781681734811
Издательство: Eurospan
Цена: 11561 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Ever stringent vehicle safety legislation and consumer expectations inspire the improvement of vehicle dynamic performance, which result in a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assistance for vehicle companies and government departments to develop proper dynamic control algorithms, and to fix roads in a timely manner and at the minimum cost, respectively. As a result, developing easy-to-use and accurate road estimation methods are of great importance in terms of reducing the cost related to vehicles and road maintenance as well as improving passenger comfort and handling capacity. A few books have already been published on road profile modeling and the influence of road unevenness on vehicle response. However, there is still room to discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics. In this book, we use several generalized vehicle models to demonstrate the concepts, methods, and applications of vehicle response-based road estimation algorithms. In addition, necessary tools, algorithms, and methods are illustrated, and the benefits of the road estimation algorithms are evaluated. Furthermore, several case studies of controllable suspension systems to improve vehicle vertical dynamics are presented.

Machine Learning Paradigms: Theory and Application

Автор: Aboul Ella Hassanien
Название: Machine Learning Paradigms: Theory and Application
ISBN: 3030023567 ISBN-13(EAN): 9783030023560
Издательство: Springer
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Цена: 22274 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms.
The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.

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