Image Processing Using Pulse-Coupled Neural Networks

The first edition of Inductively Coupled Plasma Spectrometry and its Applications was written as a handbook for users who wanted a better understanding of the theory augmented by a practical insight o

Adaptive signal processing (ASP) and iterative signal processing (ISP) are important techniques in improving receiver performance in communication systems. Using examples from practical transceiver designs, this 2006 book describes the fundamental theory and practical aspects of both methods, providing a link between the two where possible. The first two parts of the book deal with ASP and ISP respectively, each in the context of receiver design over intersymbol interference (ISI) channels. In the third part, the applications of ASP and ISP to receiver design in other interference-limited channels, including CDMA and MIMO, are considered; the author attempts to illustrate how the two techniques can be used to solve problems in channels that have inherent uncertainty. Containing illustrations and worked examples, this book is suitable for graduate students and researchers in electrical engineering, as well as practitioners in the telecommunications industry.

The updated 2nd edition of this book presents a variety of image analysis applications, reviews their precise mathematics and shows how to discretize them. For the mathematical community, the book sho

Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing, covering topics such as the z-transform, Shannon sampling theorem an

This book contains the edited version of some Plenary and Keynote Lectures presented at the III European Conference on Computational Mechanics: Solids, Structures and Coupled Problems in Engineering (

In two freestanding volumes, Textbook of Neural Repair and Rehabilitation provides comprehensive coverage of the science and practice of neurological rehabilitation. This volume, Neural Repair and Pla

G protein-coupled receptors (GPCRs) are one of the most important target classes in pharmacology and are the target of many blockbuster drugs. Yet only with the recent elucidation of the rhodopsin str

E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collabor

Since its first emergence in 1983, inductively coupled plasma mass spectrometry (ICP-MS) has become one of the most versatile trace elemental analysis technique available; and as the technique becomes

For college students and scientists, this textbook from an international group of contributors contains 19 chapters. The descriptions consist of signal and image generation and reconstruction, SNR imp

The book provides an up-to-date account of inductively coupled plasmas and their use in atomic emission spectroscopy and mass spectrometry. Specific applications of the use of these techniques ar

For years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In Neural Engineering, Chris Eliasmi

Deep brain stimulation has been used effectively for many years in patients suffering from Parkinson's disease. Now, neurologists and neurosurgeons are using electric pulse generators (somewhat like a

The book is an attempt to introduce immunocomputing as a new computing approach that replicates the principles of information processing by proteins and immune networks. An essential resource for expe

One of the most exciting notions in research is that of a cellular computer, a natural information processing paradigm capable of modeling various biological, physical and social phenomena as well as

For years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In this text, Chris Eliasmith and Ch

The Wavelet Transform has stimulated research that is unparalleled since the invention of the Fast Fourier Transform and has opened new avenues of applications in signal processing, image compression,

Neural plasticity--the brain's ability to change in response to normal developmental processes, experience, and injury--is a critically important phenomenon for both neuroscience and psychology. Incre

This guide describes principles of pulse oximetry, looks at limitations of the technique, and outlines general and specific applications in areas such as emergency medicine, anesthesia, postoperative

Deals with photonics in free space and special media such as anisotropic crystals.* Covers all important topics from Fourier optics, such as the properties of lenses, optical image processing, and hol

Asynchronous Pulse Logic is a comprehensive analysis of a newly developed asynchronous circuit family. The book covers circuit theory, practical circuits, design tools and an example of the design of

Will brain scientists ever be able to read our minds? Why are some things harder to remember than others? Based on recent brain research and neural network modelling, The Brain-Shaped Mind addresses these, and other, questions, and provides a clear account of how the structure of the brain influences the workings of the mind. Neuroscientists are now learning about our minds by examining how the neurones in the brain are connected with one another and the surrounding environment. This book explores how neural networks enable us to recognise objects and learn new things, and what happens when things go wrong. The reader is taken on a fascinating journey into what is arguably one of the most complicated and remarkable aspects of our lives.

Will brain scientists ever be able to read our minds? Why are some things harder to remember than others? Based on recent brain research and neural network modelling, The Brain-Shaped Mind addresses these, and other, questions, and provides a clear account of how the structure of the brain influences the workings of the mind. Neuroscientists are now learning about our minds by examining how the neurones in the brain are connected with one another and the surrounding environment. This book explores how neural networks enable us to recognise objects and learn new things, and what happens when things go wrong. The reader is taken on a fascinating journey into what is arguably one of the most complicated and remarkable aspects of our lives.

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how rea

This text is designed to give students a strong grounding in the mathematical basis of photogrammetry while introducing them to related fields, such as remote sensing and digital image processing. Sui

Over the last forty years, researchers have made great strides in elucidating the laws of image formation, processing, and understanding by animals, humans, and machines. This book describes the state

An important title in the “Engineering Research Series” Adaptive Neural Control of Walking Robots brings together two important areas of technological development: adaptive neural control and mobile/w

First a tutorial chapter introduces new users to the potentials and pitfalls of the new technology, which integrates statistical, neural, and fuzzy methods. Then contributors from a range of industrie

Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models appropriate for modeling and forecasting economic time series models makes choosing the best model for a particular application daunting. This classroom-tested advanced undergraduate and graduate textbook, first published in 2000, provides a rigorous treatment of recently developed non-linear models, including regime-switching and artificial neural networks. The focus is on the potential applicability for describing and forecasting financial asset returns and their associated volatility. The models are analysed in detail and are not treated as 'black boxes'. Illustrated using a wide range of financial data, drawn from sources including the financial markets of Tokyo, London and Frankfurt.

Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models appropriate for modeling and forecasting economic time series models makes choosing the best model for a particular application daunting. This classroom-tested advanced undergraduate and graduate textbook, first published in 2000, provides a rigorous treatment of recently developed non-linear models, including regime-switching and artificial neural networks. The focus is on the potential applicability for describing and forecasting financial asset returns and their associated volatility. The models are analysed in detail and are not treated as 'black boxes'. Illustrated using a wide range of financial data, drawn from sources including the financial markets of Tokyo, London and Frankfurt.

This collection of conference papers describes state-of-the-art methodologies and algorithms used in the treatment of inverse problems, focusing on seismology and image processing. The papers also des

Describing neural networks as information processing system inspired by the ability of the human brain to learn from observations and to generalize by abstraction, Zhang (electronics, Carlton U., Otta

A comprehensive introduction to the most popular class of neural network, the multilayer perceptron, showing how it can be used for system identification and control. The book provides readers with a

If you're new to Windows 2000 Server or to networks in general, fear not, because using a network is not beyond anyone's wits or abilities -- it's mostly a matter of using a language that ordinary peo

Video 2: Dental Radiography covers radiography infection control procedures, full mouth radiographs, full mouth pediatric radiographs, processing radiographs using an automatic processor and mountin

Theoretically superior to older analog systems and ideally matched to semiconductor technology, pulse code modulation (PCM) is the dominant communications technology for many applications including te

In recent years, computer graphics has evolved into four major disciplines: computer animation, image processing, visualization, and virtual reality. Now these technologies are converging into one sea

In Neural Organization, Arbib, rdi, and Szentgothai integrate structural, functional, and dynamical approaches to the interaction of brain models and neurobiologcal experiments. Both structure-based "

Kevin Heber had it good. He had his own lab, a colleague he could trust, and an idea that could make him millions. Using his father's breakthrough technology in direct neural interfacing, he and his

The past decade has seen greatly increased interaction between theoretical work in neuroscience, cognitive science and information processing, and experimental work requiring sophisticated computation