This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly. This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are the original contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends.

For one-semester, undergraduate-level courses in Optoelectronics and Photonics, in the departments of electrical engineering, engineering physics, and materials science and engineering. This text takes a fresh look at the enormous developments in electo-optic devices and associated materials-such as Pockels (Lithium Niobate) modulators.

This volume surveys recent research on autonomous sensor networks from the perspective of enabling technologies that support medical, environmental and military applications.

State of the art, as well as emerging concepts in wireless sensor networks, body area networks and ambient assisted living introduce the reader to the field, while subsequent chapters deal in depth with established and related technologies, which render their implementation possible. These range from smart textiles and printed electronic devices to implanted devices and specialized packaging, including the most relevant technological features.

The last four chapters are devoted to customization, implementation difficulties and outlook for these technologies in specific applications.

Structural health monitoring (SHM) uses one or more in situ sensing systems placed in or around a structure, providing real-time evaluation of its performance and ultimately preventing structural failure. Although most commonly used in civil engineering, such as in roads, bridges, and dams, SHM is now finding applications in other engineering environments, such as naval and aerospace engineering. Written by a highly respected expert in the field, Structural Sensing, Health Monitoring, and Performance Evaluation provides the first comprehensive coverage of SHM. The text begins with a review of the various types of sensors currently used in SHM, including point sensors and noncontact systems. Subsequent chapters explain the processing and interpretation of data from a number of sensors working in parallel. After considering issues related to the structures themselves, the author surveys the design of a tailor-made SHM system. He also presents a collection of case studies, many of which are drawn from his own experiences. Exploring the power of sensors, this book shows how SHM technologies can be applied to a variety of structures and systems, including multistory buildings, offshore wind energy plants, and ecological systems.

This book provides readers with the necessary background information and advanced concepts in the field of circuits, at the crossroads between physics, mathematics and system theory. It covers various engineering subfields, such as electrical devices and circuits, and their electronic counterparts. Based on the idea that a modern university course should provide students with conceptual tools to understand the behavior of both linear and nonlinear circuits, to approach current problems posed by new, cutting-edge devices and to address future developments and challenges, the book places equal emphasis on linear and nonlinear, two-terminal and multi-terminal, as well as active and passive circuit components. The theory is developed systematically, starting with the simplest circuits (linear, time-invariant and resistive) and providing food for thought on nonlinear circuits, potential functions, linear algebra and geometrical interpretations of selected results. Contents are organized into a set of first-level and a set of advanced-level topics. The book is rich in examples and includes numerous solved problems. Further topics, such as signal processing and modeling of non-electric physical phenomena (e.g., hysteresis or biological oscillators) will be discussed in volume 2.

This book introduces readers to essential tools for the measurement and analysis of information loss in signal processing systems. Employing a new information-theoretic systems theory, the book analyzes various systems in the signal processing engineer's toolbox: polynomials, quantizers, rectifiers, linear filters with and without quantization effects, principal components analysis, multirate systems, etc. The user benefit of signal processing is further highlighted with the concept of relevant information loss. Signal or data processing operates on the physical representation of information so that users can easily access and extract that information. However, a fundamental theorem in information theory-data processing inequality-states that deterministic processing always involves information loss. These measures form the basis of a new information-theoretic systems theory, which complements the currently prevailing approaches based on second-order statistics, such as the mean-squared error or error energy. This theory not only provides a deeper understanding but also extends the design space for the applied engineer with a wide range of methods rooted in information theory, adding to existing methods based on energy or quadratic representations.

The book proposed to the readers' attention represents an attempt to state and systematize extensive material of our experimental and theoretical investigations of heteromagnetic interactions in ferrite semiconductor structures of the active type carried out at the department of general physics, Saratov State University named after N.G. Chernyshevskiyandin the Design of ceof critical technologies(DO CT) of SRI-Tantal Corp. of the Holding company "Tantal" in recent years. The novelty and complexity of the physical phenomena determined the high-technologychar- ter ofourinvestigationsat the jointof someleads- semiconductormicroelectronics, microcircuitry, radio engineering, radiophysics, physics of magnetic phenomena, magnetoelectronics. Accumulation of extensive theoretical and experimental material on mag- toelectronics of the microwave and EHF-ranges, investigations on bigyrotropic microelectronics in ferrite lms and structures on their basis, decisive experiments con rming the multifunctionality of interactions in ferrite semiconductor structures of the active type have determined the new lead being promising. The results of our physical investigations of multifunctional, multiparametric interactions in ferrite semiconductorstructures of the active type - (oscillators, c- verters, ampli ers, frequencysynthesizers, and sensors) in the radio-wave range are discussed in the book. Performance of such a great volume of investigations became possible by jo- ing the efforts of leading experts and scientists of Saratov State University, leading industrial enterprises of Russia in the spheres of semiconductor microelectr- ics manufacturing, development of microcontrollers, radioelectronic systems, and ferrites.

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.

The technical development of optical tweezers, along with their application in the biological and physical sciences, has progressed significantly since the demonstration of an optical trap for micron-sized particles based on a single, tightly focused laser beam was first reported more than twenty years ago. Bringing together many landmark papers on the field, Optical Tweezers: Methods and Applications covers the techniques and uses of optical tweezers. Each section is introduced by a brief commentary, setting the papers into their historical and contemporary contexts. The first two sections explore the pioneering work of Arthur Ashkin and the use of optical tweezers in biological systems. The book then discusses the extensive use of optical tweezers for the measurement of picoNewton forces and examines various approaches for modeling forces within optical tweezers. The next parts explain how optical tweezers are used in colloid science, how to convert optical tweezers into optical spanners, and how spatial light modulators create holographic tweezers. The book concludes with a section on emerging applications of optical tweezers in microfluidic systems. With contributions from some of the best in the field, this compendium presents important historical and current developments of optical tweezers in a range of scientific areas, from the manipulation of bacteria to the treatment of DNA.

This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego.

Diffractive optical elements (DOEs) are becoming more and more widely used in a braod range of fields, including telecommunications, optical computing, consumer electronics, laser material processing and the biomedical sciences, to manipulate light through micro-optical systems. In order to get the most out of such DOEs, knowledge of the design process, fabrication, packaging in a particular system, and operation is required.

Digital Diffractive Optics discusses in detail the design and simulation of DOEs, before considering the main fabrication techniques. The increasingly important CAD/CAM tool requirements for the production of DOEs are covered, and a chapter is devoted to the crucial area of systematic fabrication error compensation. Finally, the integration and use of DOEs in a number of different systems, including various opto-electronic and opto-mechanical systems, are discussed.

Digital Diffractive Optics will be of great interest to all those involved in the fields of optical engineering and photonics. It presents a clear view of the whole process, from design to fabrication and application, without overstressing the, often complex, mathematics, and will thus be accessible to postgraduate students and those entering the field, as well as more experienced engineers and scientists.

This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed. The book is divided into three parts, the first of which introduces readers to periodic and non-periodic signals. The second part is devoted to filtering, which is an important and commonly used application. The third part addresses more advanced topics, including the analysis of real-world non-stationary signals and data, e.g. structural fatigue, earthquakes, electro-encephalograms, birdsong, etc. The book's last chapter focuses on modulation, an example of the intentional use of non-stationary signals.

This book helps you understand the basic properties of semiconductor quantum wells and superlattices and describes how they can be utilized for long-wavelength infrared detectors and imaging arrays. Includes 111 illustrations and 237 equations.

This book is written for professionals in telecommunications and LAN technology. It is the most complete and comprehensive guide to Structured Cable Systems. It presents the SCS in two ways; first, as a complete working system including physical principles of its operation, and second by the number of components the SCS consists of. All main components of SCS are described. This book also covers questions on SCS design, assembling, testing and troubleshooting. It is supplemented with a glossary of over 300 terms.

This book presents essential algorithms for the image processing pipeline of photo-printers and accompanying software tools, offering an exposition of multiple image enhancement algorithms, smart aspect-ratio changing techniques for borderless printing and approaches for non-standard printing modes. All the techniques described are content-adaptive and operate in an automatic mode thanks to machine learning reasoning or ingenious heuristics. The first part includes algorithms, for example, red-eye correction and compression artefacts reduction, that can be applied in any photo processing application, while the second part focuses specifically on printing devices, e.g. eco-friendly and anaglyph printing. The majority of the techniques presented have a low computational complexity because they were initially designed for integration in system-on-chip. The book reflects the authors' practical experience in algorithm development for industrial R&D.

Two Top Industry Leaders Speak Out Judith Markowitz When Amy asked me to co-author the foreword to her new book on advances in speech recognition, I was honored. Amy's work has always been infused with c- ative intensity, so I knew the book would be as interesting for established speech professionals as for readers new to the speech-processing industry. The fact that I would be writing the foreward with Bill Scholz made the job even more enjoyable. Bill and I have known each other since he was at UNISYS directing projects that had a profound impact on speech-recognition tools and applications. Bill Scholz The opportunity to prepare this foreword with Judith provides me with a rare oppor- nity to collaborate with a seasoned speech professional to identify numerous signi- cant contributions to the field offered by the contributors whom Amy has recruited. Judith and I have had our eyes opened by the ideas and analyses offered by this collection of authors. Speech recognition no longer needs be relegated to the ca- gory of an experimental future technology; it is here today with sufficient capability to address the most challenging of tasks. And the point-click-type approach to GUI control is no longer sufficient, especially in the context of limitations of mode- day hand held devices. Instead, VUI and GUI are being integrated into unified multimodal solutions that are maturing into the fundamental paradigm for comput- human interaction in the future.

This revised and extended second edition covers problems concerning the design and realization of digital control algorithms for power electronics circuits using digital signal processing (DSP) methods. This book discusses signal processing, starting from analog signal acquisition, through conversion to digital form, methods of filtration and separation, and ending with pulse control of output power transistors. The book is focused on two applications for the considered methods of digital signal processing, a three-phase shunt active power filter and a digital class-D audio power amplifier. The book bridges the gap between power electronics and digital signal processing. Many control algorithms and circuits for power electronics in the current literature are described using analog transmittances. This may not always be acceptable, especially if half of the sampling frequencies and half of the power transistor switching frequencies are close to the band of interest. Therefore in this book, a digital circuit is treated as a digital circuit with its own peculiar characteristics, rather than an analog circuit. This helps to avoid errors and instability. This edition includes a new chapter dealing with selected problems of simulation of power electronics systems together with digital control circuits. The book includes numerous examples using MATLAB and PSIM programs.

Ignited by the mobile phone's huge success at the end of last century, the demand for wireless services is constantly growing. To face this demand, wireless systems have been and are deployed at a large scale. These include mobility-oriented technologies such as GPRS, CDMA or UMTS, and Local Area Network-oriented technologies such as WiFi. WiMAX Networks covers aspects of WiMAX quality of service (QoS), security, mobility, radio resource management, multiple input multiple output antenna, planning, cost/revenue optimization, physical layer, medium access control (MAC) layer, network layer, and so on.

The slime mould Physarum polycephalum was a source of explosive growth of bioengineered hybrid sensing and computing devices in the past decade. Being in its vegetative state, the plasmodium, the slime mould configures its protoplasmic network to optimize its geometry with relation to patterns of attractants and repellents. The slime mould's adaptability, polymorphism and aestheticism inspired artists and architects. The slime mould has been seen as a self-conscious liquid form continuously changing its shape in response to external stimulation and due to interactions of thousands of micro-oscillators in its body. Elusiveness is a magic feature of the slime mould. One moment the slime mould gives you a solution to a mathematical problem by a shape of its body, next moment it changes its shape and the solution ,disappears. Slime Mould in Arts and Architecture presents a set of unique chapters written by leading artists, architects and scientists, which resulted from creative translations of the slime mould behaviour into forms and sounds, unconventional investigations and sensorial experiences and the slime mould ability to remove boundaries between living and artificial, solid and fluid, science and arts. The book gives readers unique tools for designing architectural forms and creative works using the slime mould, understanding how pro-cognitive living substrates can be used in everyday life, it sparks new ideas and initiates further progress in many fields or arts, architecture, science and engineering. Key features: - Vibrant concepts of biology, arts, non-linear sciences and architecture are inter-reacting in the book towards the formation of an unorthodox vision of future and an emergent concepts of the physical state, where science and are becoming a singly unity; - Striking polymorphism of contributions, which reflects the vibrant development of the field of bio-inspired and bio-integrated arts and architecture. This makes the publication stand out from the standard art, science or architecture book; - The book provides an in-depth insight and first hand working experiences into current production of art works at the edge of art, science and technology. It provides a unique compendium of works made by a new type of artists and architects who is not only concerned with the visual level of their work but also with scientific conceptualization and theoretical reflection on contextualization of their studies and work in interdisciplinary fields; - Contributions from main stream scientists demonstrate unusual artistic and architectural developments; - All contributors of in the book are from leading artists, architects or scientists, with an impressive track record of exhibitions, installations, and scientific and engineering discoveries. They provide in-depth insights and first-hand working experiences into current developments of art and architectural works at the edge of art, science and technology.

This book focuses on recent interconnected topics in nanophotonics written by scientists at the forefront of these fields. The book presents results of numerical investigations of light-matter interactions at the nanoscale and in the attosecond regime using first-principles calculations while also discussing recent experimental developments of higher-order harmonic generation for the field of attosecond science. In addition to this, the book reviews recent advances in select topical areas such as highly efficiency solid-state light sources based on nanophotonics, plasmonic photochemical water splitting for efficient energy harvesting, and optical spectroscopy of single-walled carbon nanotubes with quite rich physics for future application in photonics.

This book describes techniques for realizing wide bandwidth (125MHz) over-sampled analog-to-digital converters (ADCs) in nano meter-CMOS processes.The authors offer a clear and complete picture of system level challenges and practical design solutions in high-speed Delta-Sigma modulators. Readers will be enabled to implement ADCs as continuous-time delta-sigma (CT ) modulators, offering simple resistive inputs, which do not require the use of power-hungry input buffers, as well as offering inherent anti-aliasing, which simplifies system integration. The authors focus on the design of high speed and wide-bandwidth Ms that make a step in bandwidth range which was previously only possible with Nyquist converters. More specifically, this book describes the stability, power efficiency and linearity limits of Ms, aiming at a GHz sampling frequency."

This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners.

Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps.

The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.

"Blind Signal Processing: Theory and Practice" not only introduces related fundamental mathematics, but also reflects the numerous advances in the field, such as probability density estimation-based processing algorithms, underdetermined models, complex value methods, uncertainty of order in the separation of convolutive mixtures in frequency domains, and feature extraction using Independent Component Analysis (ICA). At the end of the book, results from a study conducted at Shanghai Jiao Tong University in the areas of speech signal processing, underwater signals, image feature extraction, data compression, and the like are discussed.

This book will be of particular interest to advanced undergraduate students, graduate students, university instructors and research scientists in related disciplines. Xizhi Shi is a Professor at Shanghai Jiao Tong University.