Application of FPGA to Real?Time Machine Learning, Piotr Antonik
Автор: Antonik Название: Application of FPGA to Real?Time Machine Learning ISBN: 3319910523 ISBN-13(EAN): 9783319910529 Издательство: Springer Рейтинг: Цена: 102480.00 T 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.
Автор: Gottardo Marco Название: FPGA to High Speed Adc Data Streaming ISBN: 0244366896 ISBN-13(EAN): 9780244366896 Издательство: Неизвестно Рейтинг: Цена: 52060.00 T Наличие на складе: Невозможна поставка.
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 Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Mare Nostrum (Eurospan) Рейтинг: Цена: 147840.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides emerging research exploring the theoretical and practical aspects of computable algorithms and applications within robotics and electronics development. The book provides coverage on a broad range of topics, including neuroscience, bioinformatics, and artificial intelligence.
Автор: Iouliia Skliarova; Valery Sklyarov Название: FPGA-BASED Hardware Accelerators ISBN: 303020720X ISBN-13(EAN): 9783030207205 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Lei Guan Название: FPGA-based Digital Convolution for Wireless Applications ISBN: 3319519999 ISBN-13(EAN): 9783319519999 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Ching Wa Daniel Ng Название: FPGA Algorithms and Applications for the Internet of Things ISBN: 1522598065 ISBN-13(EAN): 9781522598060 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 193110.00 T 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.
Автор: Clive "Max " Maxfield Название: The Design Warrior`s Guide to FPGAs, ISBN: 0750676043 ISBN-13(EAN): 9780750676045 Издательство: Elsevier Science Рейтинг: Цена: 59500.00 T 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. This book focuses on FPGA use for embedded systems. It offers advice on choosing the right FPGA for any design project.
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: Mare Nostrum (Eurospan) Цена: 82230.00 T Наличие на складе: Невозможна поставка. 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.
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: Mare Nostrum (Eurospan) Цена: 61910.00 T Наличие на складе: Невозможна поставка. 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.
Автор: Aboul Ella Hassanien Название: Machine Learning Paradigms: Theory and Application ISBN: 3030023567 ISBN-13(EAN): 9783030023560 Издательство: Springer Рейтинг: Цена: 149060.00 T 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.
Автор: GRULL & KEBSCHULL Название: Acceleration of Biomedical Image Processing with Dataflow on FPGAs ISBN: 8793379366 ISBN-13(EAN): 9788793379367 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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 hardware - Dataflow computing - Image processing - Application acceleration
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
