Advanced Color Image Processing and Analysis

Topics and FeaturesProvides a thorough discussion of several tasks for image processing, pattern recognition, computer vision, robotics and computer graphics using the geometric algebra frameworkIntr

A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply. Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of probability, statistical significance and type 1 and type 2 error. An accessible graphical explanation of analysis of variance (ANOVA) leads onto advanced ANOVA designs, correlation and regression, and non-parametric tests including chi-square. Finally, it introduces the essentials of multivariate techniques, multi-dimensional scaling and cluster analysis, analysis of sequences and concepts of spatial analysis. Illustrated with wide-ranging examples from topics across the Earth and environmental sciences, Geostatistics Explained can be used for undergraduate courses or for self-study and reference. Wor

This 2010 book was the first devoted to the theory of p-adic wavelets and pseudo-differential equations in the framework of distribution theory. This relatively recent theory has become increasingly important in the last decade with exciting applications in a variety of fields, including biology, image analysis, psychology, and information science. p-Adic mathematical physics also plays an important role in quantum mechanics and quantum field theory, the theory of strings, quantum gravity and cosmology, and solid state physics. The authors include many new results, some of which constitute new areas in p-adic analysis related to the theory of distributions, such as wavelet theory, the theory of pseudo-differential operators and equations, asymptotic methods, and harmonic analysis. Any researcher working with applications of p-adic analysis will find much of interest in this book. Its extended introduction and self-contained presentation also make it accessible to graduate students appr

A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply. Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of probability, statistical significance and type 1 and type 2 error. An accessible graphical explanation of analysis of variance (ANOVA) leads onto advanced ANOVA designs, correlation and regression, and non-parametric tests including chi-square. Finally, it introduces the essentials of multivariate techniques, multi-dimensional scaling and cluster analysis, analysis of sequences and concepts of spatial analysis. Illustrated with wide-ranging examples from topics across the Earth and environmental sciences, Geostatistics Explained can be used for undergraduate courses or for self-study and reference. Wor

When your high school students need understandable explanations of Huckleberry Finn, To Kill a Mockingbird, The Color Purple and other novels frequently studied in literature courses, direct them to t

When your high school students need understandable explanations of Huckleberry Finn, To Kill a Mockingbird, The Color Purple and other novels frequently studied in literature courses, direct them to t

Professionals and advanced-level amateurs seeking to push the envelope and enhance the creativity of their shots are shown how to add mood and manipulate color in their images with this guide. Using a

Stochastic processes with jumps and random measures are importance as drivers in applications like financial mathematics and signal processing. This 2002 text develops stochastic integration theory for both integrators (semimartingales) and random measures from a common point of view. Using some novel predictable controlling devices, the author furnishes the theory of stochastic differential equations driven by them, as well as their stability and numerical approximation theories. Highlights feature DCT and Egoroff's Theorem, as well as comprehensive analogs results from ordinary integration theory, for instance previsible envelopes and an algorithm computing stochastic integrals of càglàd integrands pathwise. Full proofs are given for all results, and motivation is stressed throughout. A large appendix contains most of the analysis that readers will need as a prerequisite. This will be an invaluable reference for graduate students and researchers in mathematics, physics, electrical en

Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a stochastic environment, in which the processing time of a job is not known with certainty, a schedule is typically analyzed based on the expected value of a performance measure. This book addresses this problem and presents algorithms to determine the variability of a schedule under various machine configurations and objective functions. It is intended for graduate and advanced undergraduate students in manufacturing, operations management, applied mathematics, and computer science, and it is also a good reference book for practitioners. Computer software containing the algorithms is provided on an accompanying website for ease of student and user implementation.

Arising from the 1st Interdisciplinary Nobel Laureate Symposium on Global Sustainability in Potsdam, this book brings together Nobel Laureates in Physics, Chemistry, Medicine, Economics and Peace - top-level representatives from politics and NGOs, and renowned experts on sustainability. In an unparalleled attempt to address humankind's transformation to global sustainability, the authors explore the best scientific and political strategies for reconciling our civilization with its physical and ecological support systems. The book features a radically interdisciplinary approach through a broad range of contributions, covering the latest insights from climate impact research, environmental economics, energy resource analysis, ecosystems science, and other crucial fields. It is for everyone interested in sustainability issues. Intellectually stimulating articles address the complex challenges arising from the need to avoid dangerous climate change, covering both advanced mainstream concep

While numerous books have been written on earthquakes, earthquake resistance design, and seismic analysis and design of structures, none have been tailored for advanced students and practitioners, an

Random walks have proven to be a useful model in understanding processes across a wide spectrum of scientific disciplines. Elements of the Random Walk is an introduction to some of the most powerful and general techniques used in the application of these ideas. The mathematical construct that runs through the analysis of the topics covered in this book, unifying the mathematical treatment, is the generating function. Although the reader is introduced to analytical tools, such as path-integrals and field-theoretical formalism, the book is self-contained in that basic concepts are developed and relevant fundamental findings fully discussed. Mathematical background is provided in supplements at the end of each chapter, when appropriate. This text will appeal to graduate students across science, engineering and mathematics who need to understand the applications of random walk techniques, as well as to established researchers.

This book provides an excellent reference for all professionals working in the area of array signal processing and its applications in wireless communications. Wideband beamforming has advanced with t

Doctors, nurses, and other caregivers often know what people with Alzheimer's disease or Asperger's 'sound like' - that is they recognise patterns in people's discourse, from sounds and silences, to words, sentences and story structures. Such discourse patterns may inform their clinical judgements and affect the decisions they make. However, this knowledge is often tacit, like recognising a regional accent without knowing how to describe its features. This is the first book to present models for comprehensively describing discourse specifically in clinical contexts and to illustrate models with detailed analyses of discourse patterns associated with degenerative (Alzheimer's) and developmental (autism spectrum) disorders. The book is aimed not only at advanced students and researchers in linguistics, discourse analysis, speech pathology and clinical psychology but also at researchers, clinicians and caregivers for whom explicit knowledge of discourse patterns might be helpful.

Doctors, nurses, and other caregivers often know what people with Alzheimer's disease or Asperger's 'sound like' - that is they recognise patterns in people's discourse, from sounds and silences, to words, sentences and story structures. Such discourse patterns may inform their clinical judgements and affect the decisions they make. However, this knowledge is often tacit, like recognising a regional accent without knowing how to describe its features. This is the first book to present models for comprehensively describing discourse specifically in clinical contexts and to illustrate models with detailed analyses of discourse patterns associated with degenerative (Alzheimer's) and developmental (autism spectrum) disorders. The book is aimed not only at advanced students and researchers in linguistics, discourse analysis, speech pathology and clinical psychology but also at researchers, clinicians and caregivers for whom explicit knowledge of discourse patterns might be helpful.

Complex-valued random signals are embedded in the very fabric of science and engineering, yet the usual assumptions made about their statistical behavior are often a poor representation of the underlying physics. This book deals with improper and noncircular complex signals, which do not conform to classical assumptions, and it demonstrates how correct treatment of these signals can have significant payoffs. The book begins with detailed coverage of the fundamental theory and presents a variety of tools and algorithms for dealing with improper and noncircular signals. It provides a comprehensive account of the main applications, covering detection, estimation, and signal analysis of stationary, nonstationary, and cyclostationary processes. Providing a systematic development from the origin of complex signals to their probabilistic description makes the theory accessible to newcomers. This book is ideal for graduate students and researchers working with complex data in a range of resear

From 1975 to 1990, Lebanon endured one of the most protracted and bloody civil wars of the twentieth century. Sune Haugbolle's book chronicles the battle over ideas that emerged from the wreckage of that war. While the Lebanese state encouraged forgetfulness and political parties created sectarian interpretations of the war through cults of dead leaders, intellectuals and activists - inspired by the example of truth and reconciliation movements in different parts of the world - advanced the idea that confronting and remembering the war was necessary for political and cultural renewal. Through an analysis of different cultural productions - media, art, literature, film, posters, and architecture - the author shows how the recollection and reconstruction of political and sectarian violence that took place during the war have helped in Lebanon's healing process. He also shows how a willingness to confront the past influenced the popular uprising in Lebanon after the assassination of Prime

Multiple-input multiple-output (MIMO) technology constitutes a breakthrough in the design of wireless communications systems, and is already at the core of several wireless standards. Exploiting multipath scattering, MIMO techniques deliver significant performance enhancements in terms of data transmission rate and interference reduction. This 2007 book is a detailed introduction to the analysis and design of MIMO wireless systems. Beginning with an overview of MIMO technology, the authors then examine the fundamental capacity limits of MIMO systems. Transmitter design, including precoding and space-time coding, is then treated in depth, and the book closes with two chapters devoted to receiver design. Written by a team of leading experts, the book blends theoretical analysis with physical insights, and highlights a range of key design challenges. It can be used as a textbook for advanced courses on wireless communications, and will also appeal to researchers and practitioners working

This provocative study assesses at length and in detail the validity and significance of the claim, first made in 1863, that Shelley suffered throughout his life from a youthful contraction of venereal disease. The authors have undertaken vigourous research and consulted little-known medical works of the period 1780–1830 (including a number by Shelley's own doctors), and have interwoven their examination with a description of early nineteenth-century attitudes towards venereal disease (which parallel in some respects present-day fears raised by the threat of AIDS). The book is not, however, simply an investigation of a biographical mystery. The authors' cardinal aim is to reveal the importance of the meaning of disease and healing in Shelley's poetry. They document through specific and concrete textual analysis the extent to which the image of venereal plague functions for Shelley as a metaphor of evil, and they show how his schoolboy fascination with the panacea and his fugitive ambit

Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced sign

In general, image processing texts are intended for students of engineering and computer science, and there is little written at all on the specific requirements of medical image processing. Students

This volume presents the lectures of the nineteenth Canary Islands Winter School, dedicated to the Cosmic Microwave Background (CMB). This relict radiation from the very early Universe provides a fundamental tool for precision cosmology. Prestigious researchers in the field present a comprehensive overview of current knowledge of the CMB, reviewing the theoretical foundations, the main observational results and the most advanced statistical techniques used in this discipline. The lectures give coverage from the basic principles to the most recent research results, reviewing state of the art observational and statistical analysis techniques. The impact of new experiments and the constraints imposed on cosmological parameters are emphasized and put into the broader context of research in cosmology. This is an important resource for both graduate students and experienced researchers, revealing the spectacular progress that has been made in the study of the CMB within the last decade.

In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy. This timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies, and is an essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics. The first part of the book focuses on methodology, setting the basic foundations and giving a detailed description of techniques. It covers topics including the estimation of parameters, Bayesian model comparison, and separation of signals. The second part explores a diverse range of applications, from the detection of astronomical sources (including through gravitational waves), to cosmic microwave background analysis and the quantification and classification of galaxy properties. Contributions from 24 highly regarded cosmologists and statisticians make

The concept of an inverse problem is a familiar one to most scientists and engineers, particularly in the field of signal and image processing, imaging systems (medical, geophysical, industrial non-de

Ideal for advanced undergraduate and first-year graduate courses in analog filter design and signal processing, Design of Analog Filters integrates theory and practice in order to provide a modern and

Published in an oversized format (8.5x12") and heavily illustrated with excellent color plates of the sites and finds as well as drawings and plans, this volume offers a detailed analysis of the excav

The definitive guide to PACS — now with more clinically applicable materialIn recent years, the field of picture archiving and communications systems—PACS—and image informatics has advanced due to bot

The theory of random matrices plays an important role in many areas of pure mathematics and employs a variety of sophisticated mathematical tools (analytical, probabilistic and combinatorial). This diverse array of tools, while attesting to the vitality of the field, presents several formidable obstacles to the newcomer, and even the expert probabilist. This rigorous introduction to the basic theory is sufficiently self-contained to be accessible to graduate students in mathematics or related sciences, who have mastered probability theory at the graduate level, but have not necessarily been exposed to advanced notions of functional analysis, algebra or geometry. Useful background material is collected in the appendices and exercises are also included throughout to test the reader's understanding. Enumerative techniques, stochastic analysis, large deviations, concentration inequalities, disintegration and Lie algebras all are introduced in the text, which will enable readers to approach

Revolutionary advances in imaging technology that provide high resolution, 3-D, non-invasive imaging of biological subjects have made biomedical imaging an essential tool in clinical medicine and biomedical research. Key technological advances include MRI, positron emission tomography (PET) and multidetector X-ray CT scanners. Common to all contemporary imaging modalities is the creation of digital data and pictures. The evolution from analog to digital image data is driving the rapidly expanding field of digital image analysis. Scientists from numerous disciplines now require in-depth knowledge of these complex imaging modalities. Introduction to the Science of Medical Imaging presents scientific imaging principles, introduces the major biomedical imaging modalities, reviews the basics of human and computer image analysis and provides examples of major clinical and research applications. Written by one of the world's most innovative and highly respected neuroradiologists, Introduction

"Positioned within the field of linguistics and multisemiotic discourse analysis, the theme of this book is the multifaceted interaction between text and image in different discourse genres, and it of

Research into the stability of matter has been one of the most successful chapters in mathematical physics, and is a prime example of how modern mathematics can be applied to problems in physics. A unique account of the subject, this book provides a complete, self-contained description of research on the stability of matter problem. It introduces the necessary quantum mechanics to mathematicians, and aspects of functional analysis to physicists. The topics covered include electrodynamics of classical and quantized fields, Lieb-Thirring and other inequalities in spectral theory, inequalities in electrostatics, stability of large Coulomb systems, gravitational stability of stars, basics of equilibrium statistical mechanics, and the existence of the thermodynamic limit. The book is an up-to-date account for researchers, and its pedagogical style makes it suitable for advanced undergraduate and graduate courses in mathematical physics.

First published in 1989, this book examines the work, careers and politics of French engineers and technical workers employed in traditional and high-technology settings. In the process, it critically evaluates several theories of social change and advocates a unique approach to class theory and the comparative analysis of nations. Neither owners of productive property nor wage workers performing routinised labour. Engineers occupy an ambiguous social position that has elicited a good deal of controversy about trends in their situation and ideology. Where theories of professionalism anticipate occupationally based challenges to the legitimacy of bureaucratic authority, Marxian and neo-Marxian analyses foresee class-based opposition to capitalism. Yet all these theories share a preoccupation with the effects of technology and the division of labour on social values and group identities. This book maintains that such a preoccupation obscures the significance of career situations and the

This book describes the design of resilient VLSI circuits. VLSI design has become more challenging recently, due to the detrimental effects of radiation particle strikes and processing variations. Thi

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects, can be found on the book's Web site: http://research.bus.wisc.edu/RegActuaries.

The sister volume to Political Parties in Advanced Industrial Democracies, this book offers a systematic and rigorous analysis of parties in some of the world's major new democracies. Drawing on a wea

To address the increasing demands of device scaling, new materials are being introduced into conventional Si CMOS processing at an unprecedented rate. Presentations collected here focus on understanding, from a chemistry and materials perspective, the mechanism of interface formation and defects at interfaces, for both conventional Si and alternative channel (Ge or III-V) systems. Several papers address reliability concerns for high-k/metal gate (basic physical models, charge trapping, etc.), while others cover characterization of the thin films and interfaces which comprise the gate stack. Topics include: advanced Si-based gate stacks; and alternate channel materials.

The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These

The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such area

Featuring a new cover and short story written and illustrated by Image Comics' rising star Martin Churchland, this full-color trade collects the sold-out issues of Elephantmen focusing on the mademois

Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon