Books in Electromagnetics signal processing and communications

21-30 of 211 results in All results

Quantitative Atomic-Resolution Electron Microscopy

• 1st Edition
• Volume 217
• March 31, 2021
• Martin Hÿtch + 1 more
• English
• Hardback 978-0-12-824607-8

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• eBook 978-0-323-85093-3

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Quantitative Atomic-Resolution Electron Microscopy, Volume 217, the latest release in the Advances in Imaging and Electron Physics series merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods. Chapters in this release include Statistical parameter estimation theory, Efficient fitting algorithm, Statistics-based atom counting , Atom column detection, Optimal experiment design for nanoparticle atom-counting from ADF STEM images, and more.

Morphological Image Operators

• 1st Edition
• Volume 216
• September 1, 2020
• Martin Hÿtch + 1 more
• English
• Hardback 978-0-12-821003-1

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• eBook 978-0-12-821004-8

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Advances in Imaging and Electron Physics, Volume 216, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.

Advances in Imaging and Electron Physics

• 1st Edition
• Volume 215
• July 29, 2020
• Martin Hÿtch + 1 more
• English
• Hardback 978-0-12-821001-7

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• eBook 978-0-12-821002-4

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Advances in Imaging and Electron Physics, Volume 215, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.

Advances in Imaging and Electron Physics

• 1st Edition
• Volume 214
• May 21, 2020
• Martin Hÿtch + 1 more
• English
• Hardback 978-0-12-820999-8

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• eBook 978-0-12-821000-0

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Computer Techniques for Image Processing in Electron Microscopy, Volume 214 in the Advances in Imaging and Electron Physics series, presents the latest advances in the field, with this new volume covering Image Formation Theory, The Discrete Fourier Transform, Analytic Images, The Image and Diffraction Plane Problem: Uniqueness, The Image and Diffraction Plane Problem: Numerical Methods, The Image and Diffraction Plane Problem: Computational Trials, Alternative Data for the Phase Determination, The Hardware of Digital Image Handling, Basic Software or Digital Image Handling, Improc, and much more.

Advances in Imaging and Electron Physics

• 1st Edition
• Volume 213
• March 18, 2020
• Martin Hÿtch + 1 more
• English
• Hardback 978-0-12-820997-4

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• eBook 978-0-12-820998-1

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Advances in Imaging and Electron Physics, Volume 213, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.

LPWAN Technologies for IoT and M2M Applications

• 1st Edition
• March 17, 2020
• Bharat S Chaudhari + 1 more
• English
• Paperback 978-0-12-818880-4

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• eBook 978-0-12-818881-1

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Low power wide area network (LPWAN) is a promising solution for long range and low power Internet of Things (IoT) and machine to machine (M2M) communication applications. The LPWANs are resource-constrained networks and have critical requirements for long battery life, extended coverage, high scalability, and low device and deployment costs. There are several design and deployment challenges such as media access control, spectrum management, link optimization and adaptability, energy harvesting, duty cycle restrictions, coexistence and interference, interoperability and heterogeneity, security and privacy, and others.LPWAN Technologies for IoT and M2M Applications is intended to provide a one-stop solution for study of LPWAN technologies as it covers a broad range of topics and multidisciplinary aspects of LPWAN and IoT. Primarily, the book focuses on design requirements and constraints, channel access, spectrum management, coexistence and interference issues, energy efficiency, technology candidates, use cases of different applications in smart city, healthcare, and transportation systems, security issues, hardware/software platforms, challenges, and future directions.

Electronics and Communications for Scientists and Engineers

• 2nd Edition
• February 25, 2020
• Martin Plonus
• English
• Paperback 978-0-12-817008-3

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• eBook 978-0-12-817009-0

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Electronics and Communications for Scientists and Engineers, Second Edition, offers a valuable and unique overview on the basics of electronic technology and the internet. Class-tested over many years with students at Northwestern University, this useful text covers the essential electronics and communications topics for students and practitioners in engineering, physics, chemistry, and other applied sciences. It describes the electronic underpinnings of the World Wide Web and explains the basics of digital technology, including computing and communications, circuits, analog and digital electronics, as well as special topics such as operational amplifiers, data compression, ultra high definition TV, artificial intelligence, and quantum computers.

Machine Learning

• 2nd Edition
• February 19, 2020
• Sergios Theodoridis
• English
• Hardback 978-0-12-818803-3

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• eBook 978-0-12-818804-0

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Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classification. The book starts with the basics, including mean square, least squares and maximum likelihood methods, ridge regression, Bayesian decision theory classification, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector machines, Bayesian inference with a focus on the EM algorithm and its approximate inference variational versions, Monte Carlo methods, probabilistic graphical models focusing on Bayesian networks, hidden Markov models and particle filtering. Dimensionality reduction and latent variables modelling are also considered in depth. This palette of techniques concludes with an extended chapter on neural networks and deep learning architectures. The book also covers the fundamentals of statistical parameter estimation, Wiener and Kalman filtering, convexity and convex optimization, including a chapter on stochastic approximation and the gradient descent family of algorithms, presenting related online learning techniques as well as concepts and algorithmic versions for distributed optimization. Focusing on the physical reasoning behind the mathematics, without sacrificing rigor, all the various methods and techniques are explained in depth, supported by examples and problems, giving an invaluable resource to the student and researcher for understanding and applying machine learning concepts. Most of the chapters include typical case studies and computer exercises, both in MATLAB and Python. The chapters are written to be as self-contained as possible, making the text suitable for different courses: pattern recognition, statistical/adaptive signal processing, statistical/Bayesian learning, as well as courses on sparse modeling, deep learning, and probabilistic graphical models. New to this edition: Complete re-write of the chapter on Neural Networks and Deep Learning to reflect the latest advances since the 1st edition. The chapter, starting from the basic perceptron and feed-forward neural networks concepts, now presents an in depth treatment of deep networks, including recent optimization algorithms, batch normalization, regularization techniques such as the dropout method, convolutional neural networks, recurrent neural networks, attention mechanisms, adversarial examples and training, capsule networks and generative architectures, such as restricted Boltzman machines (RBMs), variational autoencoders and generative adversarial networks (GANs). Expanded treatment of Bayesian learning to include nonparametric Bayesian methods, with a focus on the Chinese restaurant and the Indian buffet processes.

Probabilistic Graphical Models for Computer Vision.

• 1st Edition
• December 12, 2019
• Qiang Ji
• English
• Hardback 978-0-12-803467-5

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• eBook 978-0-12-803495-8

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Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants.

Advances in Imaging and Electron Physics Including Proceedings CPO-10

• 1st Edition
• Volume 212
• October 12, 2019
• Peter W. Hawkes + 1 more
• English
• Hardback 978-0-12-817475-3

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• eBook 978-0-12-817476-0

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Advances in Imaging and Electron Physics, Volume 212, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.