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  • A_Software-Defined_GPS_and_Galileo_Receiver

    Software-defined radios (SDRs) have been around for more than a decade. The first complete Global Positioning System (GPS) implementation was described by Dennis Akos in 1997. Since then several ReSearch groups have presented their contributions. We therefore find it timely to publish an up-to-date text on the sub- ject and at the same time include Galileo, the forthcoming European satellite- based navigation system. Both GPS and Galileo belong to the category of Global Navigation Satellite Systems (GNSS).

    標(biāo)簽: A_Software-Defined_GPS_and_Galile o_Receiver

    上傳時(shí)間: 2020-06-09

    上傳用戶:shancjb

  • Digital Satellite Navigation and Geophysics

    This book is about global navigation satellite systems (GNSS), their two main instru- ments, which are a receiver and a simulator, and their applications. The book is based on an operational off-the-shelf real-time software GNSS receiver and off-the-shelf GNSS signalsimulator.Theacademicversionsofthesetoolsarebundledwiththisbookandfree for readers to use for study and ReSearch.

    標(biāo)簽: Navigation Geophysics Satellite Digital and

    上傳時(shí)間: 2020-06-09

    上傳用戶:shancjb

  • Dynamic-System+Simulation

    Simulation is experimentation with models. For system design, ReSearch, and edu- cation, simulations must not only construct and modify many different models but also store and access a large volume of results. That is practical only with models programmed on computers [1,2]

    標(biāo)簽: Dynamic-System Simulation

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Intelligent Networked Teleoperation Control

    This book describes a unifying framework to networked teleoperation systems cutting across multiple ReSearch fields including networked control system for linear and nonlinear forms, bilateral teleoperation, trilateral teleoperation, multilateral teleoperation, cooperative teleoperation, and some teleoperation application examples. Networked control has been deeply studied at the intersection of systems & control and robotics for a long time, and many scholarly books on the topic have been already published. Nevertheless, the approach remains active even in several new ReSearch fields, such as bilateral teleoperation, single master and multiple slaves, trilateral teleoperation, and multilateral teleoperation

    標(biāo)簽: Teleoperation Intelligent Networked Control

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Neural_and_Fuzzy_Logic_Control

    The idea of writing this book arose from the need to investigate the main principles of modern power electronic control strategies, using fuzzy logic and neural networks, for ReSearch and teaching. Primarily, the book aims to be a quick learning guide for postgraduate/undergraduate students or design engineers interested in learning the fundamentals of modern control of drives and power systems in conjunction with the powerful design methodology based on VHDL.

    標(biāo)簽: Neural_and_Fuzzy_Logic_Control

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Auto-Machine-Learning-Methods-Systems-Challenges

    The past decade has seen an explosion of machine learning ReSearch and appli- cations; especially, deep learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, the performance of many machine learning methods is very sensitive to a plethora of design decisions, which constitutes a considerable barrier for new users. This is particularly true in the booming field of deep learning, where human engineers need to select the right neural architectures, training procedures, regularization methods, and hyperparameters of all of these components in order to make their networks do what they are supposed to do with sufficient performance. This process has to be repeated for every application. Even experts are often left with tedious episodes of trial and error until they identify a good set of choices for a particular dataset.

    標(biāo)簽: Auto-Machine-Learning-Methods-Sys tems-Challenges

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Computational+Intelligence

    The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in supporting the evolution of conventional electrical grids toward active, flexible and self- healing web energy networks composed of distributed and cooperative energy resources. From a conceptual point of view, the SG is the convergence of information and operational technologies applied to the electric grid, providing sustainable options to customers and improved security. Advances in ReSearch on SGs could increase the efficiency of modern electrical power systems by: (i) supporting the massive penetration of small-scale distributed and dispersed generators; (ii) facilitating the integration of pervasive synchronized metering systems; (iii) improving the interaction and cooperation between the network components; and (iv) allowing the wider deployment of self-healing and proactive control/protection paradigms.

    標(biāo)簽: Computational Intelligence

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Machine Learning and IoT

    The present era of ReSearch and development is all about interdisciplinary studies attempting to better comprehend and model our understanding of this vast universe. The fields of biology and computer science are no exception. This book discusses some of the innumerable ways in which computational methods can be used to facilitate ReSearch in biology and medicine—from storing enormous amounts of biological data to solving complex biological problems and enhancing the treatment of various diseases.

    標(biāo)簽: Learning Machine IoT and

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Machine Learning Healthcare Technologies

    Much has been written concerning the manner in which healthcare is changing, with a particular emphasis on how very large quantities of data are now being routinely collected during the routine care of patients. The use of machine learning meth- ods to turn these ever-growing quantities of data into interventions that can improve patient outcomes seems as if it should be an obvious path to take. However, the field of machine learning in healthcare is still in its infancy. This book, kindly supported by the Institution of Engineering andTechnology, aims to provide a “snap- shot” of the state of current ReSearch at the interface between machine learning and healthcare.

    標(biāo)簽: Technologies Healthcare Learning Machine

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Digital.Image.Processing.

    This edition of Digital Image Processing is a major revision of the book. As in the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992, 2002, and 2008 editions by Gonzalez and Woods, this sixth-generation edition was prepared with students and instructors in mind. The principal objectives of the book continue to be to provide an introduction to basic concepts and methodologies applicable to digital image processing, and to develop a foundation that can be used as the basis for further study and ReSearch in this field. To achieve these objectives, we focused again on material that we believe is fundamental and whose scope of application is not limited to the solution of specialized problems. The mathematical complexity of the book remains at a level well within the grasp of college seniors and first-year graduate students who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. The book website provides tutorials to support readers needing a review of this background material

    標(biāo)簽: Processing Digital Image

    上傳時(shí)間: 2021-02-20

    上傳用戶:

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