This monograph is intended for the designers and would-be designers of secure and efficient wireless communication systems under intentional interference. Along with the widespread of wireless devices, especially reconfigurable software defined radios, jamming has become a serious threat to civilian communications. In this book, going beyond traditional communication system design that mainly focuses on accurate information transmission under benign environments, we aim to enhance the physical layer security of communication systems by integrating modern cryptographic techniques into transceiver design, so as to achieve secure high-speed transmission under hostile interference with high reliability and efficiency. We revisit existing jamming patterns, and introduce new jamming patterns. We analyze the weaknesses of existing anti-jamming techniques. We present innovative and feasible anti-jamming techniques, which can strengthen the inherent security of the 3G, 4G and the upcoming 5G systems with minimal and inexpensive changes to the existing CDMA, frequency hopping and OFDM schemes. We also provide benchmarks for system performance evaluation under various jamming scenarios through capacity analysis. This book includes design principles, in-depth theoretical analysis and practical design examples, and will be of interest to academic researchers as well as professionals in industry.

The book represents a study guide reciting theoretical basics of radar location and radio navigation systems of air and sea transport. This is the distinctive feature of this study guide. The study guide states the principal physics of radar location and radio navigation, main measuring methods of proper and relative movement parameters of an object, tactical and technical characteristics of radar location and radio navigation systems, including examining issues on radiofrequency signals detection and its parameters estimation against background and interference of different type, filtering, combined detection and rating of signals, signals resolution and classification. The structural and functioning principles of the current and advanced radar location and radio navigation systems of air and sea transport are represented in the study guide with an adequate completeness. The study guide features the result of years long lecturing on radar location and radio navigation theoretical courses at the Moscow State Technical University of Civil Aviation and G.I.Nevelskiy Maritime State Technical Academy. The study guide is designated for students of radio-engineering specialties in area of air and sea transport. The study guide can be useful for radio engineers working in the field of air and maritime transport, and for graduate students and academic researchers as well.

Fixed-interval smoothing is a method of extracting useful information from inaccurate data. It has been applied to problems in engineering, the physical sciences, and the social sciences, in areas such as control, communications, signal processing, acoustics, geophysics, oceanography, statistics, econometrics, and structural analysis. This monograph addresses problems for which a linear stochastic state space model is available, in which case the objective is to compute the linear least-squares estimate of the state vector in a fixed interval, using observations previously collected in that interval. The author uses a geometric approach based on the method of complementary models. Using the simplest possible notation, he presents straightforward derivations of the four types of fixed-interval smoothing algorithms, and compares the algorithms in terms of efficiency and applicability. Results show that the best algorithm has received the least attention in the literature. Fixed Interval Smoothing for State Space Models: includes new material on interpolation, fast square root implementations, and boundary value models; is the first book devoted to smoothing; contains an annotated bibliography of smoothing literature; uses simple notation and clear derivations; compares algorithms from a computational perspective; identifies a best algorithm. Fixed Interval Smoothing for State Space Models will be the primary source for those wanting to understand and apply fixed-interval smoothing: academics, researchers, and graduate students in control, communications, signal processing, statistics and econometrics.

Thorough, up-to-date, comprehensive coverage of 3-D image processing This authoritative guide presents and explains numerous 3-D image processing, analysis, and visualization techniques, including volume filtering, interpolation, 3-D discrete Fourier transform, evaluation of topological and geometrical features, region segmentation and edge detection, skeletonization and registration, and visualization. Necessary theoretical background is provided for each topic, along with a number of algorithms, selected on the basis of their acceptance by the scientific community.

The presentation of each technique includes a commented implementation, either in C code or in C-like pseudocode. Though presented in an almost ready-to-run form, the C code is simplified to expose the structure of the processing algorithms, rather than their programming details. This combination of theoretical treatment and C code implementation allows readers to gain a thorough insight into these techniques.

Important features of 3-D Image Processing Algorithms include:

• A demo version of EIKONA 3D image processing software
• Lab exercises based on EIKONA 3D
• Accompanying transparencies summarizing the most important topics.

The material can be downloaded from an ftp site

Based on the authors’ long experience in research and teaching of 2-D/3-D image processing, 3-D Image Processing Algorithms is an indispensable resource for electrical, computer, and biomedical engineers, as well as computer graphics professionals and programmers.

We delight in using our eyes, particularly when puzzling over pictures. Art and illusionists is a celebration of pictures and the multiple modes of manipulating them to produce illusory worlds on flat surfaces. This has proved fascinating to humankind since the dawning of depiction. Art and illusionists is also a celebration of the ways we see pictures, and of our ability to distil meaning from arrays of contours and colours. Pictures are not only a source of fascination for artists, who produce them, but also for scientists, who analyse the perceptual effects they induce. Illusions provide the glue to cement the art and science of vision. Painters plumb the art of observation itself whereas scientists peer into the processes of perception. Both visual artists and scientists have produced patterns that perplex our perceptions and present us with puzzles that we are pleased to peruse. Art and illusionists presents these two poles of pictorial representation as well as presenting novel 'perceptual portraits' of the artists and scientists who have augmented the art of illusion. The reader can experience the paradoxes of pictures as well as producing their own by using the stereoscopic glasses enclosed and the transparent overlay for making dynamic moire patterns.

This textbook covers the theoretical backgrounds and practical aspects of image, video and audio feature expression, e.g., color, texture, edge, shape, salient point and area, motion, 3D structure, audio/sound in time, frequency and cepstral domains, structure and melody. Up-to-date algorithms for estimation, search, classification and compact expression of feature data are described in detail. Concepts of signal decomposition (such as segmentation, source tracking and separation), as well as composition, mixing, effects, and rendering, are discussed. Numerous figures and examples help to illustrate the aspects covered. The book was developed on the basis of a graduate-level university course, and most chapters are supplemented by problem-solving exercises. The book is also a self-contained introduction both for researchers and developers of multimedia content analysis systems in industry.

This book encompasses the full breadth of the super-resolution imaging field, representing modern techniques that exceed the traditional diffraction limit, thereby opening up new applications in biomedicine. It shows readers how to use the new tools to increase resolution in sub-nanometer-scale images of living cells and tissue, which leads to new information about molecules, pathways and dynamics. The book highlights the advantages and disadvantages of the techniques, and gives state-of-the-art examples of applications using microscopes currently available on the market. It covers key techniques such as stimulated emission depletion (STED), structured illumination microscopy (SSIM), photoactivated localization microscopy (PALM), and stochastic optical reconstruction microscopy (STORM). It will be a useful reference for biomedical researchers who want to work with super-resolution imaging, learn the proper technique for their application, and simultaneously obtain a solid footing in other techniques.

There has been a revived interest in Raman amplification due to the availability of high pump powers and improvements in small core size fibers. Two general categories of Raman amplifiers exist: distributed and discrete, also known as DRAs. They improve the noise figure and reduce the nonlinear penalty of the amplifier, allowing for longer amplifiers spans, higher bit rates, closer channel spacings, and operation near the zero dispersion wavelength. DRAs are already becoming commonplace in most long-haul networks. Consequently, Raman amplifiers should see a wide range of deployment in the next few years. This edited monograph is written by leading experts in this area and is the first book entirely devoted to Raman amplification. Three sections include extensive background on Raman physics, descriptions of sub-systems and modules utilizing Raman technology, and a review of current state-of-the-art systems. Technologies presented include applications for long-haul and ultra-long-haul submarine, terrestrial, soliton, and high-speed systems. This book will be a resource for scientists and optical engineers in optoelectronics, fiber optics, telecommunication, and optical networks.

This book is expected to present state-of-the-art understanding of a selection of excitonic and photonic processes in useful materials from semiconductors to insulators to metal/insulator nanocomposites, both inorganic and organic. Among the featured applications are components of solar cells, detectors, light-emitting devices, scintillators and materials with novel optical properties. Excitonic properties are particularly important in organic photovoltaics and light emitting devices, as also in questions of the ultimate resolution and efficiency of new-generation scintillators for medical diagnostics, border security and nuclear non proliferation.Novel photonic and optoelectronic applications benefit from new material combinations and structures to be discussed."

Logarithmic Image Processing: Theory and Applications, the latest volume in the series that merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy and features cutting-edge articles on recent developments in all areas of microscopy, digital image processing, and many related subjects in electron physics.

Revised and updated, this concise new edition of the pioneering book on multidimensional signal processing is ideal for a new generation of students. Multidimensional systems or m-D systems are the necessary mathematical background for modern digital image processing with applications in biomedicine, X-ray technology and satellite communications. Serving as a firm basis for graduate engineering students and researchers seeking applications in mathematical theories, this edition eschews detailed mathematical theory not useful to students. Presentation of the theory has been revised to make it more readable for students, and introduce some new topics that are emerging as multidimensional DSP topics in the interdisciplinary fields of image processing. New topics include Groebner bases, wavelets, and filter banks.

In the current age of information technology, the issues of distributing and utilizing images efficiently and effectively are of substantial concern. Solutions to many of the problems arising from these issues are provided by techniques of image processing, among which segmentation and compression are topics of this book. Image segmentation is a process for dividing an image into its constituent parts. For block-based segmentation using statistical classification, an image is divided into blocks and a feature vector is formed for each block by grouping statistics of its pixel intensities. Conventional block-based segmentation algorithms classify each block separately, assuming independence of feature vectors. Image Segmentation and Compression Using Hidden Markov Models presents a new algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs). Formulas for estimating the model according to the maximum likelihood criterion are derived from the EM algorithm. To segment an image, optimal classes are searched jointly for all the blocks by the maximum a posteriori (MAP) rule. The 2-D HMM is extended to multiresolution so that more context information is exploited in classification and fast progressive segmentation schemes can be formed naturally. The second issue addressed in the book is the design of joint compression and classification systems using the 2-D HMM and vector quantization. A classifier designed with the side goal of good compression often outperforms one aimed solely at classification because overfitting to training data is suppressed by vector quantization. Image Segmentation and Compression Using Hidden Markov Models is an essential reference source for researchers and engineers working in statistical signal processing or image processing, especially those who are interested in hidden Markov models. It is also of value to those working on statistical modeling.

A comprehensive survey of techniques and applications in image and video processing and analysis

A widely varied selection of experts provides extensive coverage of nonlinear model-based techniques in image and video processing and analysis. This volume not only details new techniques in still image and digital video but also discusses applications in computer vision, multimedia, and visual information retrieval systems. All nonlinear, model-based techniques are detailed, and a complete and up-to-date accounting of the most important and effective algorithms is included for every application and technique discussed.

The applications described also include such real-world uses as multimedia information retrieval, automatic surveillance, lip tracking, and much more. Analytical techniques such as Boolean and stack filters, rational functions, mathematical morphology techniques, and adaptive order statistic filtering receive detailed treatment as they apply to specific uses such as image compression, segmentation, old motion picture restoration, image/video interpolation, and noise smoothing.

Chapters include:

• Optimal Design of Boolean and Stack Filters and Their Application in Image Processing
• Image Processing Using Rational Functions
• Mathematical Morphology and Motion Picture Restoration
• Adaptive Order Statistic Filtering of Still Images and Image Sequences
• Video Segmentation Based on Multiple Features for Interactive and Automatic Multimedia Applications
• Invariant Features in Pattern Recognition–Fundamentals and Applications
• Image Models for Facial Feature Tracking

Students, engineers, and scientists will appreciate both the wide range of expert opinion in this comprehensive volume and the detailed coverage of the algorithms and mathematical models used in state-of-the-art image and video processing.

This work results from a selection of the contributions presented in the mini symposium "Applications of Multiresolution Analysis with "Wavelets", presented at the ICIAM 19, the International Congress on Industrial and Applied Mathematics held at Valencia, Spain, in July 2019. The presented developments and applications cover different areas, including filtering, signal analysis for damage detection, time series analysis, solutions to boundary value problems and fractional calculus. This bunch of examples highlights the importance of multiresolution analysis to face problems in several and varied disciplines. The book is addressed to researchers in the field.

As the need for accurate and non-invasive optical characterization and diagnostic techniques is rapidly increasing, it is imperative to find improved ways of extracting the additional information contained within the measured parameters of the scattered light. This is the first specialized monograph on photopolarimetry, a rapidly developing, multidisciplinary topic with numerous military, ecological remote-sensing, astrophysical, biomedical, and technological applications. The main objective is to describe and discuss techniques developed in various disciplines to acquire useful information from the polarization signal of scattered electromagnetic waves. It focuses on the state-of-the-art in polarimetric detection, characterization, and remote sensing, including military and environmental monitoring as well as terrestrial, atmospheric, and biomedical characterization. The book identifies polarimetric techniques that have been especially successful for various applications as well as the future needs of the various research communities. The monograph is intended to facilitate cross-pollination of ideas and thereby improve research efficiency and help advance the field of polarimetry into the future. The book is thoroughly interdisciplinary and contains only invited review chapters written by leading experts in the respective fields. It will be useful to science professionals, engineers, and graduate students working in a broad range of disciplines: optics, electromagnetics, atmospheric radiation and remote sensing, radar meteorology, oceanography, climate research, astrophysics, optical engineering and technology, particle characterization, and biomedical optics.

This work is dedicated to CMOS based imaging with the emphasis on the noise modeling, characterization and optimization in order to contribute to the design of high performance imagers in general and range imagers in particular. CMOS is known to be superior to CCD due to its flexibility in terms of integration capabilities, but typically has to be enhanced to compete at parameters as for instance noise, dynamic range or spectral response. Temporal noise is an important topic, since it is one of the most crucial parameters that ultimately limits the performance and cannot be corrected. This work gathers the widespread theory on noise and extends the theory by a non-rigorous but potentially computing efficient algorithm to estimate noise in time sampled systems. This work contributed to two generations of LDPD based ToF range image sensors and proposed a new approach to implement the MSI PM ToF principle. This was verified to yield a significantly faster charge transfer, better linearity, dark current and matching performance. A non-linear and time-variant model is provided that takes into account undesired phenomena such as finite charge transfer speed and a parasitic sensitivity to light when the shutters should remain OFF, to allow for investigations of largesignal characteristics, sensitivity and precision. It was demonstrated that the model converges to a standard photodetector model and properly resembles the measurements. Finally the impact of these undesired phenomena on the range measurement performance is demonstrated.

The search for neutrinoless double beta decay is one of the highest priority areas in particle physics today; it could provide insights to the nature of neutrino masses (currently not explained by the Standard Model) as well as how the universe survived its early stages. One promising experimental approach involves the use of large volumes of isotope-loaded liquid scintillator, but new techniques for background identification and suppression must be developed in order to reach the required sensitivity levels and clearly distinguish the signal. The results from this thesis constitute a significant advance in this area, laying the groundwork for several highly effective and novel approaches based on a detailed evaluation of state-of-the-art detector characteristics. This well written thesis includes a particularly clear and comprehensive description of the theoretical motivations as well as impressively demonstrating the effective use of diverse statistical techniques. The professionally constructed signal extraction framework contains clever algorithmic solutions to efficient error propagation in multi-dimensional space. In general, the techniques developed in this work will have a notable impact on the field.

The theory and practice of the non-linear optics of silicon are inextricably linked with a variety of areas of solid state physics, particularly semiconductor physics. However, the current literature linking these fields is scattered across various sources and is lacking in depth. Second Order Non-linear Optics of Silicon and Silicon Nanostructures describes the physical properties of silicon as they apply to non-linear optics while also covering details of the physics of semiconductors. The book contains six chapters that focus on: The physical properties and linear optics of silicon Basic theoretical concepts of reflected second harmonics (RSH) The authors' theory of the generation of RSH at the non-linear medium-linear medium interface An analytical review of work on the non-linear optics of silicon The results of non-linear optical studies of silicon nanostructures A theory of photoinduced electronic processes in semiconductors and their influence on RSH generation The book also includes methodological problems and a significant amount of reference data. It not only reflects the current state of research but also provides a single, thorough source of introductory information for those who are becoming familiar with non-linear optics. Second Order Non-linear Optics of Silicon and Silicon Nanostructures is a valuable contribution to the fields of non-linear optics, semiconductor physics, and microelectronics, as well as a useful resource for a wide range of readers, from undergraduates to researchers.

Mathematics and Physics 1: New Ways to Use Old Ideas for High Quality Acoustic Images; G. Wade. Mathematics and Physics 2: A Modified Algorithm for Ultrasound Holographic Q Imaging; Q. Zhengdi. Application in Nondestructive Testing: Imaging and Inverse Scattering in Nondestructive Evaluation; K.J. Langenberg, et al. Acoustical and Optoacoustical Microscope: Nearfield Scanning Acoustic Microscopy; A. Kulik, et al. Transducers and Array: Formation and Propagation of Limited Diffraction Beams; J. Lu, J.F. Greenleaf. Application in Medicine and Biology 1: Multidimensional Cardiac Imaging; J.F. Greenleaf, et al. Application in Medicine and Biology 2: A Restoration Method of Ultrasonic Medical Tomogram; K. Zhou, et al. Seismic Imaging: A Method of Diffraction Tomography; K. Nagai, et al. Underwater Acoustical Imaging: A New Generation Side Scan Sonar; P. Alais, et al. 96 additional articles. Index.

NMR Probeheads for Biophysical and Biomedical Experiments 2nd Edition is essential reading for anyone in the field of NMR or MRI, from students to medical or biological scientists performing experiments under certain physical and/or geometrical conditions, unattainable by conventional or available probes. The material guides the reader through the most basic and comprehensive stages in accomplishing a correct probe design, from a very basic oscillating circuit to much more elaborate designs.This new edition has been revised and updated to include a chapter dedicated to RF components, which are commonly used for probes realization and their frequency-dependent characteristics. Another completely revised chapter concerns the multiple coil systems and discusses arrays coils, different decoupling methods, and some principles for interfacing coils with low-noise preamplifiers. The principles of linear circuit analysis are presented in a dedicated chapter. Last but not least, accompanying files containing updated software for probe design have been made available from the publisher's website.

This book gives a comprehensive overview of the medium access control (MAC) principles in cognitive radio networks, with a specific focus on how such MAC principles enable different wireless systems to coexist in the same spectrum band and carry out spectrum sharing. From algorithm design to the latest developments in the standards and spectrum policy, readers will benefit from leading-edge knowledge of how cognitive radio systems coexist and share spectrum resources. Coverage includes cognitive radio rendezvous, spectrum sharing, channel allocation, coexistence in TV white space, and coexistence of heterogeneous wireless systems. "

Nonlinear optics is attracting attention because of its applications in telecommunications and its possibilities for optical computing. Optoelectronics has been singled out by many as being of considerable strategic importance. Optical fibre communications shows that optics is already a method of choice; nonlinear optics offers further improvements in efficiency and versatility. Textbooks on nonlinear optics are readily available, concentrating on phenomena and devices rather than on the materials. Materials for nonlinear optics have developed considerably, with novel semiconductor structures and organics attracting much attention. These too are treated in a variety of books, at a research level. To take advantage of these newer materials, those who use nonlinear optics may need a source of information on the materials available and their special characteristics. At the same time, materials specialists entering the field of nonlinear optics may need a source of information on the general features of nonlinear optics. Nonlinear optics also now forms part of a number of degree and Masters level programmes. This book is written as an overview of the subject for users of these materials, graduate level courses and those entering research in this area. Chapters cover individual classes of materials and try to provide an authoritative but approachable summary of the characteristics of each class, with emphasis on the advantages offered for applications in nonlinear optics. To ensure that the book is accessible to those not conversant with nonlinear optics, introductory chapters outline the principle nonlinear optical phenomena and how these are exploited in device configurations.

Introduction to Nonimaging Optics covers the theoretical foundations and design methods of nonimaging optics, as well as key concepts from related fields. This fully updated, revised, and expanded Second Edition: Features a new and intuitive introduction with a basic description of the advantages of nonimaging optics Adds new chapters on wavefronts for a prescribed output (irradiance or intensity), infinitesimal etendue optics (generalization of the aplanatic optics), and Koehler optics and color mixing Incorporates new material on the simultaneous multiple surface (SMS) design method in 3-D, integral invariants, and etendue 2-D Contains 21 chapters, 24 fully worked and several other examples, and 1,000+ illustrations, including photos of real devices Addresses applications ranging from solar energy concentration to illumination engineering Introduction to Nonimaging Optics, Second Edition invites newcomers to explore the growing field of nonimaging optics, while providing seasoned veterans with an extensive reference book.

Based upon the research they have conducted over the past decade in the field of denoising processes for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. Firstly, the respective methods are reviewed and divided into five categories. Secondly, after introducing some basic mathematical tools such as wavelet and shearlet transforms, the authors highlight five recently developed despeckling methods for medical ultrasonic images. In turn, simulations and experiments for clinical ultrasonic images are presented for each method, and comparison studies with other well-known existing methods are conducted, showing the effectiveness and superiority of the new methods. Students and researchers in the field of signal and image processing, as well as medical professionals whose work involves ultrasonic diagnosis, will greatly benefit from this book. Familiarizing them with the state of the art in despeckling methods for medical ultrasonic images, it offers a useful reference guide for their study and research work.

This proceedings book presents the latest research in the fields of information theory, communication system, computer science and signal processing, as well as other related technologies. Collecting selected papers from the 3rd Conference on Signal and Information Processing, Networking and Computers (ICSINC), held in Chongqing, China on September 13-15, 2017, it is of interest to professionals from academia and industry alike.