Radar Signal Processing and Its Applications brings together in one place important contributions and up-to-date research results in this fast-moving area. In twelve selected chapters, it describes the latest advances in architectures, design methods, and applications of radar signal processing.

The contributors to this work were selected from the leading researchers and practitioners in the field.

This work, originally published as Volume 14, Numbers 1-3 of the journal, Multidimensional Systems and Signal Processing, will be valuable to anyone working or researching in the field of radar signal processing. It serves as an excellent reference, providing insight into some of the most challenging issues being examined today.

In various ways, Chinese diasporic communities seek to connect and re-connect with their "homelands" in literature, film, and visual culture. The essays in Affective Geographies and Narratives of Chinese Diaspora examine how diasporic bodies and emotions interact with space and place, as well as how theories of affect change our thinking of diaspora. Questions of borders and border-crossing, not to mention the public and private spheres, in diaspora literature and film raise further questions about mapping and spatial representation and the affective and geographical significance of the push-and-pull movement in diasporic communities. The unique experience is represented differently by different authors across texts and media. In an age of globalization, in "the Chinese Century," the spatial representation and cultural experiences of mobility, displacement, settlement, and hybridity become all the more urgent. The essays in this volume respond to this urgency, and they help to frame the study of Chinese diaspora and culture today.

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented, followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges. Robert Haining is Emeritus Professor in Human Geography, University of Cambridge, England. He is the author of Spatial Data Analysis in the Social and Environmental Sciences (1990) and Spatial Data Analysis: Theory and Practice (2003). He is a Fellow of the RGS-IBG and of the Academy of Social Sciences. Guangquan Li is Senior Lecturer in Statistics in the Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle, England. His research includes the development and application of Bayesian methods in the social and health sciences. He is a Fellow of the Royal Statistical Society.

As the audacious Monkey King battles his way through a landscape of inexplicable places and unfamiliar passions, Further Adventures on the Journey to the West offers a wry, revisionist critique of the late-Ming fascination with desire. Building on the great sixteenth-century novel Journey to the West, which recounts the escapades of a monk and three companions traveling to India in search of Buddhist scriptures to carry back to China, this sequel is a parable of self-delusion that explores the tension between desire and emptiness from a Buddhist perspective. The consummate literati novel, written by an accomplished artist for a well-educated readership, it is filled with allusions and parodies and features a dream-sequence narrative that is innovative and sophisticated even by modern standards. This new, fully annotated translation by two acclaimed scholars and translators brings to life this remarkably inventive, playful early modern text. The volume includes the original commentaries and illustrations, a critical introduction and afterword, and notes that highlight the sources of the novel’s intertextual references, revealing the author’s erudition and versatility.

Separation Techniques in Nuclear Waste Management is an up-to-date, comprehensive survey of processes for separation of nuclear wastes. Comprised of articles by scientists and engineers at universities and national laboratories in the U.S. and overseas, the book provides excellent reference information for individuals working in nuclear waste management. Specifically, the book covers current separation technologies and techniques for waste liquid, solid, and gas streams that contain radionuclides. Such wastes are typical of those produced as a result of nuclear materials processing and spent fuel reprocessing. Chapters on promising new technologies and state-of-the-art processes currently in use provide valuable information for design engineers, as well as for research scientists. The articles in Separation Techniques in Nuclear Waste Management are brief and concise - designed for quick access to pertinent information. Many of the contributors are leaders in their fields. It is the most current survey available of the latest nuclear waste management techniques.

Separation Techniques in Nuclear Waste Management is an up-to-date, comprehensive survey of processes for separation of nuclear wastes. Comprised of articles by scientists and engineers at universities and national laboratories in the U.S. and overseas, the book provides excellent reference information for individuals working in nuclear waste management. Specifically, the book covers current separation technologies and techniques for waste liquid, solid, and gas streams that contain radionuclides. Such wastes are typical of those produced as a result of nuclear materials processing and spent fuel reprocessing. Chapters on promising new technologies and state-of-the-art processes currently in use provide valuable information for design engineers, as well as for research scientists. The articles in Separation Techniques in Nuclear Waste Management are brief and concise - designed for quick access to pertinent information. Many of the contributors are leaders in their fields. It is the most current survey available of the latest nuclear waste management techniques.

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.

At a time of great turmoil and crisis, environmentally, socially and politically, water has emerged as a topic of huge global concern. Moreover, many argue that what is needed in order to change our relationship with the environment is a cultural paradigm shift. To this end, this volume brings together diverse approaches to exploring human relationships with the watery world and the other living things that rely upon it. Through exploring multiple creative ways of engaging with water and people, the volume adds to the current zeitgeist of writing about water by expanding the discussion about this vital substance and how, as humans, we relate to it. Chapters focus on creative explorations and explorations of creativity in relation to developing these understandings, including concepts such as hydrocitizenship and responses to drought and flooding. Drawing on the in-depth research and experience of arts practitioners including participatory artists, as well as academics from a variety of fields including geography, anthropology, health studies and environmental humanities, the book provides a rich and multidisciplinary perspective on water and creative ways of engaging and understanding human-water relationships. It represents a valuable source and inspiration for academics, arts practitioners and those involved in environmental policy and governance.

At a time of great turmoil and crisis, environmentally, socially and politically, water has emerged as a topic of huge global concern. Moreover, many argue that what is needed in order to change our relationship with the environment is a cultural paradigm shift. To this end, this volume brings together diverse approaches to exploring human relationships with the watery world and the other living things that rely upon it. Through exploring multiple creative ways of engaging with water and people, the volume adds to the current zeitgeist of writing about water by expanding the discussion about this vital substance and how, as humans, we relate to it. Chapters focus on creative explorations and explorations of creativity in relation to developing these understandings, including concepts such as hydrocitizenship and responses to drought and flooding. Drawing on the in-depth research and experience of arts practitioners including participatory artists, as well as academics from a variety of fields including geography, anthropology, health studies and environmental humanities, the book provides a rich and multidisciplinary perspective on water and creative ways of engaging and understanding human-water relationships. It represents a valuable source and inspiration for academics, arts practitioners and those involved in environmental policy and governance.

Improve the Accurate Detection and Diagnosis of Cancer and Other Diseases Despite the expansion of the CAD field in recent decades, there is currently no single book dedicated to the development and use of CAD systems. Filling this need, Computer-Aided Detection and Diagnosis in Medical Imaging covers the major technical advances and methodologies shaping the development and clinical utility of CAD systems in breast imaging, chest imaging, abdominal imaging, and other emerging applications. After a historical overview of CAD, the book is divided into four sections. The first section presents CAD technologies in breast imaging, which is the most advanced area of CAD application. The second section discusses CAD technologies in chest and abdominal imaging. The third section explores emerging CAD technologies in a wide range of imaging modalities designed to address a variety of diseases. The final section describes the current use of CAD systems in clinical practice as well as how CAD will play an important role in quantitative image biomarkers and imaging genomics research. This book brings together existing and emerging CAD approaches at a level understandable to students, CAD system developers, basic scientists, and physician scientists. Newcomers to CAD research will learn about fundamental aspects in the process of CAD system development. Developers of CAD systems will gain insight on designing new or improved CAD systems. Experienced researchers will get up-to-date information on the latest CAD technologies.

As a fast-evolving new area, RFID security and privacy has quickly grown from a hungry infant to an energetic teenager during recent years. Much of the exciting development in this area is summarized in this book with rigorous analyses and insightful comments. In particular, a systematic overview on RFID security and privacy is provided at both the physical and network level. At the physical level, RFID security means that RFID devices should be identified with assurance in the presence of attacks, while RFID privacy requires that RFID devices should be identified without disclosure of any valuable information about the devices. At the network level, RFID security means that RFID information should be shared with authorized parties only, while RFID privacy further requires that RFID information should be shared without disclosure of valuable RFID information to any honest-but-curious server which coordinates information sharing. Not only does this book summarize the past, but it also provides new research results, especially at the network level. Several future directions are envisioned to be promising for advancing the research in this area.

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.

Offers a practical introduction to regression modeling with spatial and spatial-temporal data relevant to research and teaching in the social and economic sciences Focuses on a few key datasets and data analysis using the open source software WinBUGS, R, and GeoDa Provides data and programming codes to allow users to undertake their own analyses Ends each chapter with a set of short exercises and questions for further study

Cultural neuroscience and global mental health is an interdisciplinary field of study that integrates theoretical, methodological, and empirical approaches in cultural neuroscience to address the major challenges in global mental health. The field is concerned with identifying the root causes, risks, and preventative factors in global mental health, with a view to improving and achieving health equity for all people across the world. The Oxford Handbook of Cultural Neuroscience and Global Mental Health is the first ever comprehensive overview of this field. It explores how culture can influence the neurobiological mechanisms underlying mental health. The book is divided into 5 parts: Part I introduces theoretical foundations in cultural neuroscience and global mental health. The second part provides reviews investigating the etiology of mental health disorders across cultures. Part 3 discusses the societal and environmental influences that affect prevention and early intervention in global mental health. This is followed by a section examining strategies for the improvement of treatment and expansion of access to care in global mental health. The book ends with a review of the cultural and socioeconomic factors that affect the prevalence of mental disorders across ethnic groups. The book will be an essential educational resource for both training and practising mental health professionals, in addition to those in the fields of cultural neuroscience and public health.

As the audacious Monkey King battles his way through a landscape of inexplicable places and unfamiliar passions, Further Adventures on the Journey to the West offers a wry, revisionist critique of the late-Ming fascination with desire. Building on the great sixteenth-century novel Journey to the West, which recounts the escapades of a monk and three companions traveling to India in search of Buddhist scriptures to carry back to China, this sequel is a parable of self-delusion that explores the tension between desire and emptiness from a Buddhist perspective. The consummate literati novel, written by an accomplished artist for a well-educated readership, it is filled with allusions and parodies and features a dream-sequence narrative that is innovative and sophisticated even by modern standards. This new, fully annotated translation by two acclaimed scholars and translators brings to life this remarkably inventive, playful early modern text. The volume includes the original commentaries and illustrations, a critical introduction and afterword, and notes that highlight the sources of the novel’s intertextual references, revealing the author’s erudition and versatility.

Four hundred years ago, indigenous peoples occupied the vast region that today encompasses Korea, Manchuria, the Mongolian Plateau, and Eastern Siberia. Over time, these populations struggled to maintain autonomy as Russia, China, and Japan sought hegemony over the region. Especially from the turn of the twentieth century onward, indigenous peoples pursued self-determination in a number of ways, and new states, many of them now largely forgotten, rose and fell as great power imperialism, indigenous nationalism, and modern ideologies competed for dominance. This atlas tracks the political configuration of Northeast Asia in ten-year segments from 1590 to 1890, in five-year segments from 1890 to 1960, and in ten-year segments from 1960 to 2010, delineating the distinct history and importance of the region. The text follows the rise and fall of the Qing dynasty in China, founded by the semi-nomadic Manchus; the Russian colonization of Siberia; the growth of Japanese influence; the movements of peoples, armies, and borders; and political, social, and economic developments-reflecting the turbulence of the land that was once the world's "cradle of conflict." Compiled from detailed research in English, Chinese, Japanese, French, Dutch, German, Mongolian, and Russian sources, the Historical Atlas of Northeast Asia incorporates information made public with the fall of the Soviet Union and includes fifty-five specially drawn maps, as well as twenty historical maps contrasting local and outsider perspectives. Four introductory maps survey the region's diverse topography, climate, vegetation, and ethnicity.

Once upon a time, not too far from today, in a place not too far from here, lived a little ant named Toneeo. He was just an ordinary ant, cruising through life, happy to carry whatever the heck it was he had to carry every day for the rest of his days, as ants are known to do. Never questioning the higher plan, Toneeo did things a little differently from all the rest-not bad, just different. One day as Toneeo was going about his daily routine, he encountered a big problem and before he knew it, he was off on the biggest adventure of his life.