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  • image of Passive Radars on Moving Platforms
    Passive Radars on Moving Platforms
    • Editors: Diego Cristallini; Daniel W. O'Hagan
    • Publication Year: 2023
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      This book collects, reviews and analyses recent research on passive radars on moving platforms. Due to the nature of the typical radar applications performed by moving platforms and the signals of opportunity typically exploited for passive radar purposes, which are not designed for reception while in motion, the special case of passive radar mounted on moving platforms is highly challenging.

      Passive Radars on Moving Platforms is intended for both passive radar experts and readers less familiar with the general topic of passive radar. The editors provide useful background information before fully exploring various research activities from a selection of working groups worldwide. An overview of operational systems is given, with considerations on multiple receiving channel calibration and hardware realization of radar systems based on the software defined radio (SDR) principle. The concluding chapter offers some outlook on what passive radar could look like in the near future, namely a component of a bigger architecture usually referred to as system of systems (SoS). Additionally, results of on-going activities related to new potential illuminators of opportunity for passive radar are covered.

      Providing a thorough overview of techniques, challenges and applications that are enabled when a passive radar is operated from a moving platform, this book will be of interest to radar engineers, researchers into radar design, and the wider radar signal processing community.

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  • image of Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors
    Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors
    • Author(s): Anirban Sengupta
    • Publication Year: 2023
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      Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors presents state-of-the art explanations for detective control-based security and protection of digital signal processing (DSP) and machine learning coprocessors against hardware threats. Such threats include intellectual property (IP) abuse and misuse, for example, fraudulent claims of IP ownership and IP piracy. DSP coprocessors such as finite impulse response filters, image processing filters, discrete Fourier transform, and JPEG compression hardware are extensively utilized in several real-life applications. Further, machine learning coprocessors such as convolutional neural network (CNN) hardware IP cores play a vital role in several applications such as face recognition, medical imaging, autonomous driving, and biometric authentication, amongst others.

      Written by an expert in the field, this book reviews recent advances in hardware security and IP protection of digital signal processing (DSP) and machine learning coprocessors using physical biometrics and DNA. It presents solutions for secured coprocessors for DSP, image processing applications and CNN, and where relevant chapters explores the advantages, disadvantages and security-cost trade-offs between different approaches and techniques to assist in the practical application of these methods.

      The interdisciplinary themes and topics covered are expected to be of interest to researchers in several areas of specialisation, encompassing the overlapping fields of hardware design security, VLSI design (high level synthesis, register transfer level, gate level synthesis), IP core, optimization using evolutionary computing, system-on-chip design, and biometrics. CAD/design engineers, system architects and students will also find this book to be a useful resource.

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  • image of Applications of Deep Learning in Electromagnetics: Teaching Maxwell's equations to machines
    Applications of Deep Learning in Electromagnetics: Teaching Maxwell's equations to machines
    • Editors: Maokun Li; Marco Salucci
    • Publication Year: 2022
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      Deep learning has started to be applied to solving many electromagnetic problems, including the development of fast modelling solvers, accurate imaging algorithms, efficient design tools for antennas, as well as tools for wireless links/channels characterization. The contents of this book represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate. With the development of deep learning techniques, improvement in learning capacity and generalization ability may allow machines to "learn" from properly collected data and "master" the physical laws in certain controlled boundary conditions. In the long run, a hybridization of fundamental physical principles with knowledge from training data could unleash numerous possibilities in electromagnetic theory and engineering that used to be impossible due to the limit of data information and ability of computation.

      Electromagnetic applications of deep learning covered in the book include electromagnetic forward modeling, free-space inverse scattering, non-destructive testing and evaluation, subsurface imaging, biomedical imaging, direction of arrival estimation, remote sensing, digital satellite communications, imaging and gesture recognition, metamaterials and metasurfaces design, as well as microwave circuit modeling.

      Applications of Deep Learning in Electromagnetics contains valuable information for researchers looking for new tools to solve Maxwell's equations, students of electromagnetic theory, and researchers in the field of deep learning with an interest in novel applications.

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  • image of Charge Acceleration and the Spatial Distribution of Radiation Emitted by Antennas and Scatterers
    Charge Acceleration and the Spatial Distribution of Radiation Emitted by Antennas and Scatterers
    • Author(s): Edmund K. Miller
    • Publication Year: 2022
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      Given that charge acceleration is the cause of all electromagnetic radiation, the question arises about where such acceleration occurs on objects typically modelled and analysed by electromagnetic engineers. Charge acceleration, as the cause of radiation from these typical kinds of objects (antennas, radars etc) is examined in this book on a quantitative basis.

      The book describes new ways of modelling the actual distribution of EM radiation waves from its various sources. Unlike other books on EM it focuses on radiation, a fundamental property of electromagnetic fields, it does not follow the usual analytical kind of approach to be found in a book on electromagnetics. Rather than developing and presenting a formal theoretical foundation of electromagnetic theory, this book instead focuses on various aspects of EM radiation from a variety of perspectives.

      The goal is to provide the reader with computational tools for determining quantitatively why and where radiation is emitted by antennas and scatterers. This is a unique approach which is of wide interest to the EM theoretical community.

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  • image of Applications of Machine Learning in Digital Healthcare
    Applications of Machine Learning in Digital Healthcare
    • Editors: Miguel Hernandez Silveira; Su-Shin Ang
    • Publication Year: 2022
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      Machine learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the development of machine learning based tools to aid in its interpretation and use.

      This edited book focuses on the applications of machine learning in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how ML techniques can be applied to process an individual patient's medical data to swiftly aid diagnosis.

      Written by an international team of experts, the book presents several applications of machine learning in the healthcare sector, including health system planning, optimisation and preparedness, outlining the benefits and challenges of coordination and data sharing. Machine learning has many applications in processing patient data and topics such as arrhythmia detection, image-guided microsurgery and early detection of Alzheimer's disease are discussed in depth. The book also looks at machine learning applications exploiting wearable sensors for real-time analysis and concepts around enhancing physical performance.

      Suitable for an audience of computer scientists, healthcare engineers and those involved with digital medicine, this book brings together a plethora of machine learning applications from across the board of the healthcare services.

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  • image of Technology-Enabled Motion Sensing and Activity Tracking for Rehabilitation
    Technology-Enabled Motion Sensing and Activity Tracking for Rehabilitation
    • Author(s): Wenbing Zhao
    • Publication Year: 2022
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      Documenting how technology has been increasingly facilitating rehabilitation both for physical and mental health, this book focuses on sensing and measurement technologies for rehabilitation applications.

      The author introduces various motion sensing technologies, such as inertial measurement units, pressure sensing, e-Textile, and vision-based motion sensing and discusses the applications in at-home rehabilitation scenarios. Common human motion recognition algorithms, ranging from simple single-parameter determination, such as the determination of range of motion in terms of angles, to sophisticated rule-based and machine-learning based activity recognition algorithms are explored, laying the foundation for adopting and understanding these technologies in rehabilitation.

      Interactive games illustrate how technology can help rehabilitation beyond assessment, invigorating the rehabilitation programs, and engaging patients in their own recovery journey via computer screens or virtual reality interfaces to provide real-time feedback on the quality and quantity of the physical activity performed. This serious game technology enables more accurate and consistent assessment of the quality of rehabilitation exercises done by the patients. The author looks at many patient populations (such as recovery from stroke, COPD, MS, or surgery) and many rehabilitation scenarios (such as upper extremity, lower extremity, posture, hand, gait and activities of daily living).

      Professionals and researchers in the field of rehabilitation technology engineering and related areas will find this book a valuable tool in navigating multidisciplinary work on healthcare technology and health science.

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  • image of Digital Twin Technologies for Healthcare 4.0
    Digital Twin Technologies for Healthcare 4.0
    • Editors: Rajesh Kumar Dhanaraj; Santhiya Murugesan; Balamurugan Balusamy; Valentina E. Balas
    • Publication Year: 2022
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      In healthcare, a digital twin is a digital representation of a patient or healthcare system using integrated simulations and service data. The digital twin tracks a patient's records, crosschecks them against registered patterns and analyses any diseases or contra indications. The digital twin uses adaptive analytics and algorithms to produce accurate prognoses and suggest appropriate interventions. A digital twin can run various medical scenarios before treatment is initiated on the patient, thus increasing patient safety as well as providing the most appropriate treatments to meet the patient's requirements.

      Digital Twin Technologies for Healthcare 4.0 discusses how the concept of the digital twin can be merged with other technologies, such as artificial intelligence (AI), machine learning (ML), big data analytics, IoT and cloud data management, for the improvement of healthcare systems and processes. The book also focuses on the various research perspectives and challenges in implementation of digital twin technology in terms of data analysis, cloud management and data privacy issues.

      With chapters on visualisation techniques, prognostics and health management, this book is a must-have for researchers, engineers and IT professionals in healthcare as well as those involved in using digital twin technology, AI, IoT and big data analytics for novel applications.

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  • image of Blockchain Technology in e-Healthcare Management
    Blockchain Technology in e-Healthcare Management
    • Editors: Suyel Namasudra; Victor Hugo C. de Albuquerque
    • Publication Year: 2022
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      The healthcare arena has seen a shift in recent years, with more healthcare provisions being delivered or managed via electronic means. Healthcare providers can now provide patients with diagnosis, treatment, monitoring, or a prescription without ever sharing the same physical space. With so much more patient data now stored and accessed electronically, the security of this information is ever more critical to the delivery of effective and efficient healthcare services. As blockchains are resistant to modification of their data, blockchain technology therefore provides traceable and reliable security to e-Healthcare systems and services.

      Introducing the fundamentals of blockchain technology and discussing its applications in the e-Healthcare sphere, the editors highlight recent research and development in blockchain technology, specifically in healthcare environments such as e-healthcare records and data security, health insurance management and fraud detection, pharmaceutical supply chain management and drug traceability, and IoT enabled patient monitoring. Including a case study on managing e-Healthcare data the editors also explore the challenges and future directions of using blockchain technology in delivering and managing e-Healthcare provision.

      Written by a range of international experts, the book will be of interest to researchers and academics in information security, data scientists, and healthcare professionals/administrators with responsibility for e-Healthcare records.

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  • image of AIoT Technologies and Applications for Smart Environments
    AIoT Technologies and Applications for Smart Environments
    • Editors: Mamoun Alazab; Meenu Gupta; Shakeel Ahmed
    • Publication Year: 2022
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      Although some IoT systems are built for simple event control where a sensor signal triggers a corresponding reaction, many events are far more complex, requiring applications to interpret the event using analytical techniques to initiate proper actions. Artificial intelligence of things (AIoT) applies intelligence to the edge and gives devices the ability to understand the data, observe the environment around them, and decide what to do best with minimum human intervention. With the power of AI, AIoT devices are not just messengers feeding information to control centers. They have evolved into intelligent machines capable of performing self-driven analytics and acting independently. A smart environment uses technologies such as wearable devices, IoT, and mobile internet to dynamically access information, connect people, materials and institutions, and then actively manages and responds to the ecosystem's needs in an intelligent manner.

      In this edited book, the contributors present challenges, technologies, applications and future trends of AIoT in realizing smart and intelligent environments, including frameworks and methodologies for applying AIoT in monitoring devices and environments, tools and practices most applicable to product or service development to solve innovation problems, advanced and innovative techniques, and practical implementations to enhance future smart environment systems. Chapters cover a broad range of applications including smart cities, smart transportation and smart agriculture.

      This book is a valuable resource for industry and academic researchers, scientists, engineers and advanced students in the fields of ICTs and networking, IoT, AI and machine and deep learning, data science, sensing, robotics, automation and smart technologies and smart environments.

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  • image of Lightning Electromagnetics. Volume 1: Return stroke modelling and electromagnetic radiation
    Lightning Electromagnetics. Volume 1: Return stroke modelling and electromagnetic radiation
    • Editors: Vernon Cooray; Farhad Rachidi; Marcos Rubinstein
    • Publication Year: 2022
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      Lightning is important for all scientists and engineers involved with electric installations. It is gaining further relevance since climate warming is causing an increase in lightning strikes, and since the rising numbers of renewable power generators, the electricity grid, and charging infrastructure are susceptible to lightning damage. This is the second edition to this comprehensive work.

      Both volumes have been thoroughly revised and updated for this second edition. Volume 1 treats lightning return stroke modelling and lightning electromagnetic radiation, and Volume 2 addresses electrical processes and effects. Chapter coverage includes various models and simulations of lightning strokes, measurements of lightning-generated EM fields, HF, VHF and microwave radiation, and lightning location systems; atmospheric discharge processes, lightning strikes to grounded structures and towers, EM field propagation, interaction with cables, effects on power transmission and distribution systems, effects in the ionosphere, mesosphere and magnetosphere, as well as NOx generation and climate effects. The volumes provide the rules and procedures to combine the readers' understanding with a model of every lightning-related electromagnetic process, and their effects and interactions. Readers obtain first-hand experience through simulations of the EM field of thunderclouds and lightning flashes and their effects.

      These volumes are a valuable resource for researchers and engineers in the areas of electrical engineering and physics involved in the fields of electromagnetic compatibility, lightning protection, renewable energy systems, smart grids, and lightning physics, as well as for professionals from telecommunication companies and manufacturers of power equipment, and advanced students.

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  • image of Lightning Electromagnetics. Volume 2: Electrical processes and effects
    Lightning Electromagnetics. Volume 2: Electrical processes and effects
    • Editors: Vernon Cooray; Farhad Rachidi; Marcos Rubinstein
    • Publication Year: 2022
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      Lightning is important for all scientists and engineers involved with electric installations. It is gaining further relevance since climate warming is causing an increase in lightning strikes, and since the rising numbers of renewable power generators, the electricity grid, and charging infrastructure are susceptible to lightning damage. This is the second edition to this comprehensive work.

      Both volumes have been thoroughly revised and updated for this second edition. Volume 1 treats lightning return stroke modelling and lightning electromagnetic radiation, and Volume 2 addresses electrical processes and effects. Chapter coverage includes various models and simulations of lightning strokes, measurements of lightning-generated EM fields, HF, VHF and microwave radiation, and lightning location systems; atmospheric discharge processes, lightning strikes to grounded structures and towers, EM field propagation, interaction with cables, effects on power transmission and distribution systems, effects in the ionosphere, mesosphere and magnetosphere, as well as NOx generation and climate effects. The volumes provide the rules and procedures to combine the readers' understanding with a model of every lightning-related electromagnetic process, and their effects and interactions. Readers obtain first-hand experience through simulations of the EM field of thunderclouds and lightning flashes and their effects.

      These volumes are a valuable resource for researchers and engineers in the areas of electrical engineering and physics involved in the fields of electromagnetic compatibility, lightning protection, renewable energy systems, smart grids, and lightning physics, as well as for professionals from telecommunication companies and manufacturers of power equipment, and advanced students.

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  • image of n-Type Crystalline Silicon Photovoltaics: Technology, applications and economics
    n-Type Crystalline Silicon Photovoltaics: Technology, applications and economics
    • Editors: Delfina Muñoz; Radovan Kopecek
    • Publication Year: 2022
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      Most solar cells currently in commercial use are p-type solar cells, due to their historically lower cost and ease of manufacture compared to n-type solar cells. However, due to improved manufacturing technology and falling cost in general, the cost difference between the two types has shrunk, making n-type solar cells an attractive option for future commercial high-efficiency solar cells.

      n-type solar cells are less prone to light-induced degradation, and are also less affected by iron impurities. This makes n-type solar cells more efficient compared to their p-type counterparts, with efficiencies of up to 25% being feasible in production.

      Challenges in the manufacturing process and regarding degradation still remain to be solved, in order to realise n-type solar cells' full potential. The challenges, solutions and opportunities afforded by n-type solar cells are explored in this volume.

      This book conveys current research and development for n-type solar cells and modules. With a systematic build-up, chapters cover the base material, wafer production, and the cell concepts including recent passivation techniques. Also covered are the related issues of solar module technology, such as encapsulation and interconnection, and degradation process management, including comparisons with p-type solar cells. In addition, economic and ecologic aspects and cost modelling are addressed.

      This thorough, concise reference is a valuable resource for researchers from industry and academia working in the field of photovoltaics.

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  • image of Power Electronics for Next-Generation Drives and Energy Systems. Volume 1: Converters and control for drives
    Power Electronics for Next-Generation Drives and Energy Systems. Volume 1: Converters and control for drives
    • Editors: Nayan Kumar; Josep M. Guerrero; Debaprasad Kastha; Tapas Kumar Saha
    • Publication Year: 2022
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      Power electronics converters are devices that change parameters of electric power, such as voltage and frequency, as well as between AC and DC. They are essential parts of both advanced drives, for machines and vehicles, and energy systems to meet required flexibility and efficiency criteria. In energy systems both stationary and mobile, control and converters help ensure reliability and quality of electric power supplies.

      This reference in two volumes is useful reading for scientists and researchers working with power electronics, drives and energy systems; manufacturers developing power electronics for advanced applications; professionals working in the utilities sector; and for advanced students of subjects related to power electronics.

      Volume 1 covers converters and control for drives, while Volume 2 addresses clean generation and power grids. The chapters enable the reader to directly apply the knowledge gained to their research and designs. Topics include reliability, WBG power semiconductor devices, converter topology and their fast response, matrix and multilevel converters, nonlinear dynamics, AI and machine learning. Robust modern control is covered as well. A coherent chapter structure and step-by-step explanation provide the reader with the understanding to pursue their research.

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  • image of Power Electronics for Next-Generation Drives and Energy Systems. Volume 2: Clean generation and power grids
    Power Electronics for Next-Generation Drives and Energy Systems. Volume 2: Clean generation and power grids
    • Editors: Nayan Kumar; Josep M. Guerrero; Debaprasad Kastha; Tapas Kumar Saha
    • Publication Year: 2022
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      Power electronics converters are devices that change parameters of electric power, such as voltage and frequency, as well as between AC and DC. They are essential parts of both advanced drives, for machines and vehicles, and energy systems to meet required flexibility and efficiency criteria. In energy systems both stationary and mobile, control and converters help ensure reliability and quality of electric power supplies.

      This reference in two volumes is useful reading for scientists and researchers working with power electronics, drives and energy systems; manufacturers developing power electronics for advanced applications; professionals working in the utilities sector; and for advanced students of subjects related to power electronics.

      Volume 1 covers converters and control for drives, while Volume 2 addresses clean generation and power grids. The chapters enable the reader to directly apply the knowledge gained to their research and designs. Topics include reliability, WBG power semiconductor devices, converter topology and their fast response, matrix and multilevel converters, nonlinear dynamics, AI and machine learning. Robust modern control is covered as well. A coherent chapter structure and step-by-step explanation provide the reader with the understanding to pursue their research.

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  • image of Digital Technologies for Solar Photovoltaic Systems: From general to rural and remote installations
    Digital Technologies for Solar Photovoltaic Systems: From general to rural and remote installations
    • Editor: Saad Motahhir
    • Publication Year: 2022
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      The rising share of photovoltaic (PV) energy requires sophisticated digital techniques for control, monitoring and integration with the grid. In remote areas, where no trained personnel might be nearby to intervene, such technologies are vital to ensure reliability and power quality, and to harness the solar potential of these locations. Moreover, tracking is necessary for moveable systems. Digital technologies can be used to enable and augment the use of PV energy in the grid, as well as for desalination, water pumping and hydrolysis.

      Digital Technologies for Solar Photovoltaic Systems: From general to rural and remote installations focuses on the latest research and developments in PV energy system operation and integration. It provides extensive coverage of R&D to overcome critical limitations to the use of remote PV systems.

      Chapters cover phase-shifting transformers, grid-connected PV micro-inverter, distribution automation, PV powered water pumping, maximum power point tracking and solar tracking, soiling effects and measurement, cleaning methods, IoT based PV module cooling and cleaning, control of energy storage, and energy management.

      This book is a highly useful reference guide for researchers, designers, operators, and experts involved with PV systems, as well as for graduate students.

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  • image of Fundamentals of Inertial Navigation Systems and Aiding
    Fundamentals of Inertial Navigation Systems and Aiding
    • Author(s): Michael Braasch
    • Publication Year: 2022
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      The aim of this book is to provide an advanced introduction to inertial data processing (determination of attitude, velocity and position) along with design architectures and algorithms used to aid the inertial navigation system (INS). The emphasis is on the high-end sensors and systems used in aerospace applications (known as 'navigation grade' or 'nav grade').

      The subject of inertial navigation systems and how to aid them (reduce their inherent error drift) is complex and multi-disciplinary. Mathematics and physics along with electrical, mechanical and software engineering all are involved. This book has been written to serve as an introduction for students and those new to the field. Specialized topics such as rotation matrices, quaternions and relevant stochastic processes are covered in the book. The reader is expected to have a basic understanding of vectors, matrices and matrix multiplication as well as freshman-level differential and integral calculus.

      The basics of inertial position/velocity/attitude updating are first presented with respect to a conceptually simple inertially-fixed reference frame before the impact of the spheroidal rotating earth is covered. Similarly, the key concepts of the Kalman filter are first presented in the context of a scalar filter. Important aspects of the prediction error covariance and Kalman gain equations are thus covered in an intuitive sense before the full matrix formulations are described. By the end of the book, a thorough treatment of modern aided-INS architectures is provided.

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  • image of Physical Layer Security for Wireless Sensing and Communication
    Physical Layer Security for Wireless Sensing and Communication
    • Editors: Hüseyin Arslan; Haji M. Furqan
    • Publication Year: 2022
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      Wireless physical layer (PHY) security has attracted much attention due to the broadcast nature of the wireless medium and its inherent vulnerability to eavesdropping, jamming, and interference.

      Physical Layer Security for Wireless Sensing and Communication covers both communication and sensing security from a broad perspective. The main emphasis is on PHY security, although other security measures are covered for the sake of completeness and as a step towards cross-layer security and cognitive security vision. After discussing the features of wireless channels from both the communication and sensing perspectives, the book details their exploitation for secure transmission utilizing various approaches. Wireless sensing and radio environment concepts are also addressed, along with the related security implications in terms of eavesdropping, disruption, manipulation, and, in general, the exploitation of wireless sensing by unauthorised users. Several solutions for these threats from the domains of wireless communication, military radars, and machine learning, are discussed.

      The book provides valuable information to researchers in academia and industry, as well as engineers, developers, and advanced students in the field of cybersecurity.

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  • image of Cybersecurity in Transport Systems
    Cybersecurity in Transport Systems
    • Editor: Martin Hawley
    • Publication Year: 2022
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      The role of data and information and communication technology (ICT) is growing in all areas of transport, with autonomous vehicles among the most advanced examples. This opens up opportunities for malevolent interference, such as remote-control of vehicles for criminal or terrorist purposes or interruption of increasingly interconnected transport systems. It is therefore imperative that cybersecurity is upgraded and designed into new systems.

      Focusing on the management of security and the principles of security technologies in the context of transport systems, this book equips readers with an understanding of what management actions need to be taken and the sort of technologies available to defend against cyberattacks. To improve their decision making, managers need to understand how security practices and technologies work, so the book spans a range of areas: from regulations to security management, to the principles of selected technologies.

      Cybersecurity in Transport Systems provides insights across multiple modes of transport, including insight from seasoned practitioners. It also addresses advances and themes in current research and the future outlook as we move to increasing digital transformation.

      The book is aimed at managers in the transport sector but is widely applicable to other sectors, especially those that are safety critical. Much of the book will be useful to students considering careers in industries that rely on information technology, and to researchers in academia and industry.

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  • image of Wind Turbine System Design. Volume 1: Nacelles, drivetrains and verification
    Wind Turbine System Design. Volume 1: Nacelles, drivetrains and verification
    • Editor: Jan Wenske
    • Publication Year: 2022
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      Wind energy is a pillar of the strategy to mitigate greenhouse gas emissions and stave off catastrophic climate change, but the market is under tremendous pressure to reduce costs. This results in the need for optimising any new wind turbine to maximise the return on investment and keep the technology profitable and the sector thriving. Optimisation involves selecting the best component out of many, and then optimising the system as a whole. Key components are the nacelles and drive trains, and the verification of their work as a system.

      Wind Turbine System Design: Volume 1: Nacelles, drive trains and verification is a valuable reference for scientists, engineers and advanced students engaged in the design of wind turbines offering a systematic guide to these components. Chapters written by industry experts cover load calculation and validation, models and simulation, pitch and yaw system concepts and designs, drivetrain concepts and developments, gearboxes, hydraulic systems, lubrication, and validation. The book aims to enable readers to make informed and systematic choices in designing the best turbine for a given situation.

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  • image of Non-Redundant Near-Field to Far-Field Transformation Techniques
    Non-Redundant Near-Field to Far-Field Transformation Techniques
    • Author(s): Claudio Gennarelli ; Flaminio Ferrara ; Rocco Guerriero ; Francesco D'Agostino
    • Publication Year: 2022
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    • p. (1)

      Near-field (NF) measurement techniques and the related NF to far-field (FF) transformations are gaining interest for their ability to allow an accurate evaluation of the radiation characteristics of those antennas whose electric sizes do not make it possible to perform direct FF measurements in a controlled and reflection-free environment, such as the anechoic chamber.

      This book provides a comprehensive treatment of classical NF-FF transformation techniques and describes the significant improvements achieved in their performance by correctly applying the non-redundant sampling representations of antenna radiated electromagnetic (EM) fields.

      Non-Redundant Near-Field to Far-Field Transformation Techniques is designed to meet the needs of students of antenna NF measurements, as well as of engineers and physicists working in the area. It has been written keeping in mind the fulfilment of two main objectives. The former is to provide all the analytical details on the derivation of the classical NF-FF transformation techniques without and with probe compensation, which are not easily available elsewhere in the literature. The latter is to give a comprehensive description of effective representations of the EM fields radiated over arbitrary rotational surfaces, which make use of a non-redundant (i.e., minimum) number of samples collected on these surfaces or along proper spirals wrapping them.

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