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Books in Electromagnetics signal processing and communications

Photonics
An Electromagnetic Approach
1st book:metaData.edition
Chang-Hee Lee
publicationLanguages:en
Photonics: An Electromagnetic Approach introduces students to the field by means of a comprehensive integration of diverse explanations within a unified framework rooted in electromagnetic theory. This framework is designed to meet the needs of undergraduate (junior or senior) and graduate students, while also providing researchers with a moderately detailed description. The book strives to cover underlying physical photonics principles rather than focusing on actual devices and systems. It starts with the underlying physics in Maxwell’s equations. Many important features in photonics are covered as solutions of linear Maxwell’s equations, including reflection, refraction, interference, radiation, diffraction, optical waveguide, optical resonator, etc. Ray optics are introduced by considering the dimensionality of the interesting region. Resonant interactions between electromagnetic fields and media, including semiconductors, are explained classically or semi classically. Various dynamic characteristics of a laser are also discussed. Noise mechanisms in the detection and generation processes of optical radiation are also explained in detail. Fundamentals for nonlinear optical phenomena are explained by solving nonlinear wave equations both for elastic and inelastic nonlinearities.
Advances in Imaging & Electron Physics
1st book:metaData.edition
volume
publicationLanguages:en
Advances in Imaging and Electron Physics, Volume 239 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.
Advances in Imaging & Electron Physics
1st book:metaData.edition
volume
publicationLanguages:en
Advances in Imaging and Electron Physics, Volume 238 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.
Advances in Imaging and Electron Physics
1st book:metaData.edition
volume
publicationLanguages:en
Advances in Imaging and Electron Physics, Volume 237 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. Chapters in this new release include Stochastic geometry with applications in materials science, Morphological models of random media, Grain models and application to microstructure simulation, MCMC algorithms for model parameterization, Tessellations models, Tesselation models, Fast simulation of tessellation models using Eikonal equation, Applications to Image Processing, Synthesis of Training Images for Supervised Learning Problems, and Segmentation Methods Based on the Eikonal Equation.
Advances in Imaging and Electron Physics
1st book:metaData.edition
volume
publicationLanguages:en
Advances in Imaging and Electron Physics, Volume 236 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.
Advances in Imaging and Electron Physics
1st book:metaData.edition
volume
publicationLanguages:en
Advances in Imaging and Electron Physics, Volume 235 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. Chapters in this release cover Unified formalism of light beam optics and light polarization, Relativistic Theory and Calculation of Electrostatic Focusing Systems, A Nonlinear Representation Theory of Equivariant Deep Learning Using Group Morphology.
Magnetoelectric Composites
Materials, Structures, and Applications
2nd book:metaData.edition
Gopalan Srinivasan contributors.plusContributors
publicationLanguages:en
Magnetoelectric Composites: Materials, Structures, and Applications, Second Edition summarizes the theory behind magnetoelectric phenomena and then introduces magnetoelectric materials and structures and the techniques used to fabricate and characterize them. Part two of the book looks at magnetoelectric devices: applications covered include magnetoelectric sensors, magnetoelectric antennas, transducers for energy harvesting, microwave and millimetre wave devices, and miniature magnetoelectric systems for biomedical applications. The final chapter discusses progress toward magnetoelectric memory.This new edition starts with the phenomena and theory of magnetoelectric materials in bulk laminates, thin-film heterostructures, and nanocomposites. On the magnetoelectric devices side, the contents have been significantly expanded to include energy harvesting, sensing, and magnetoelectric antennas. This book is suitable for materials scientists and engineers working on magnetoelectrics in academia and R&D.
Advances in Imaging and Electron Physics
1st book:metaData.edition
volume
publicationLanguages:en
Advances in Imaging and Electron Physics, Volume 234 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. Chapters in this new release cover Unified formalism of light beam optics and light polarization, Relativistic Theory and Calculation of Electrostatic Focusing Systems, A Nonlinear Representation Theory of Equivariant Deep Learning Using Group Morphology, and Artificial Intelligence and Deep Learning in Electron Microscopy.
Machine Learning
From the Classics to Deep Networks, Transformers, and Diffusion Models
3rd book:metaData.edition
Sergios Theodoridis
publicationLanguages:en
Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models, Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian decision theory, 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 learning is treated in detail with emphasis on the EM algorithm and its approximate variational versions with a focus on mixture modelling, regression and classification. Nonparametric Bayesian learning, including Gaussian, Chinese restaurant, and Indian buffet processes are also presented. Monte Carlo methods, particle filtering, probabilistic graphical models with emphasis on Bayesian networks and hidden Markov models are treated in detail. Dimensionality reduction and latent variables modelling are considered in depth. Neural networks and deep learning are thoroughly presented, starting from the perceptron rule and multilayer perceptrons and moving on to convolutional and recurrent neural networks, adversarial learning, capsule networks, deep belief networks, GANs, and VAEs. The book also covers the fundamentals on statistical parameter estimation and optimization algorithms.Focusing on the physical reasoning behind the mathematics, without sacrificing rigor, all methods and techniques are explained in depth, supported by examples and problems, providing an invaluable resource to the student and researcher for understanding and applying machine learning concepts.
Advances in Optics of Charged Particle Analyzers: Part 1
1st book:metaData.edition
volume
publicationLanguages:en
Advances in Optics of Charged Particle Analyzers: Part 1, Volume 232 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features 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. Specific chapters cover Introduction to inverse problems in electron microscopy, Directional sinogram inpainting for limited angle tomography, Strain tomography of crystals, FISTA with adaptive discretization, Total variation discretization, and Reconstruction with a Gaussian Dictionary.