Variational Inference Methods For Signal Processing In Wireless Communications

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Variational Inference Methods for Signal Processing in Wireless Communications

Author : Dexu Lin
Publisher :
ISBN 13 : 9780494398227
Total Pages : 336 pages
Book Rating : 4.3/5 (982 download)

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Book Synopsis Variational Inference Methods for Signal Processing in Wireless Communications by : Dexu Lin

Download or read book Variational Inference Methods for Signal Processing in Wireless Communications written by Dexu Lin and published by . This book was released on 2008 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The transmission of information over a wireless medium often introduces additional unknown variables corrupting the primary signal of interest. These unknowns originate from different sources (e.g., channel distortions or inultiuser interference) and possess different characteristics (additive or multiplicative, static or time-varying). A consequence of this phenomenon is that the extra unknowns need to be taken into consideration at the receiver when detecting the desired signal. The factor graph depiction of this problem setting is straightforward. Yet performing exact inference on the graph to optimally remove the effects of distortion via direct belief propagation is often computationally prohibitive. This thesis aims to establish a new framework, based on variational inference, to guide the design of near-optimal algorithms for joint detection and estimation in such a scenario. The application of this framework in the OFDM area results in a novel detector with phase noise cancellation capability. The proposed algorithm generates near optimal soft estimates of the desired OFDM signal in the presence of unknown phase noise. To provide accurate channel information for this detector, we also propose an optimal (maximum a posteriori) joint estimator for the channel impulse response, carrier frequency offset amid phase noise. This implies that the frequency synchronization and channel estimation algorithms for OFDM can be derived from statistical estimation theory even in the presence of phase noise. This variational inference framework is also used to established a unified approach for studying joint detection and decoding in multiple-access and ISI channels. It produces low-complexity, near-optimal detector/estimator designs for turbo receivers, including the built-in capability to deal with channel uncertainty. Various existing turbo receivers can be seen as its special cases, leading to insights on how new improvements can be made.

Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications

Author : Ang, Li-Minn
Publisher : IGI Global
ISBN 13 : 1613501544
Total Pages : 452 pages
Book Rating : 4.6/5 (135 download)

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Book Synopsis Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications by : Ang, Li-Minn

Download or read book Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications written by Ang, Li-Minn and published by IGI Global. This book was released on 2011-09-30 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a central source of reference on visual information processing in wireless sensor network environments and its technology, application, and society issues"--

Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

Author : Jean-Francois Giovannelli
Publisher : John Wiley & Sons
ISBN 13 : 1848216378
Total Pages : 322 pages
Book Rating : 4.8/5 (482 download)

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Book Synopsis Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing by : Jean-Francois Giovannelli

Download or read book Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing written by Jean-Francois Giovannelli and published by John Wiley & Sons. This book was released on 2015-02-16 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm. From the application field’s point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications. The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.

Graphical Models, Exponential Families, and Variational Inference

Author : Martin J. Wainwright
Publisher : Now Publishers Inc
ISBN 13 : 1601981848
Total Pages : 324 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Graphical Models, Exponential Families, and Variational Inference by : Martin J. Wainwright

Download or read book Graphical Models, Exponential Families, and Variational Inference written by Martin J. Wainwright and published by Now Publishers Inc. This book was released on 2008 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate statistical models in the exponential family.

Dissertation Abstracts International

Author :
Publisher :
ISBN 13 :
Total Pages : 800 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Dissertation Abstracts International by :

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Variational Bayesian Learning Theory

Author : Shinichi Nakajima
Publisher : Cambridge University Press
ISBN 13 : 1107076153
Total Pages : 561 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Variational Bayesian Learning Theory by : Shinichi Nakajima

Download or read book Variational Bayesian Learning Theory written by Shinichi Nakajima and published by Cambridge University Press. This book was released on 2019-07-11 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to the theory of variational Bayesian learning summarizes recent developments and suggests practical applications.

The Variational Bayes Method in Signal Processing

Author : Václav Šmídl
Publisher : Springer Science & Business Media
ISBN 13 : 3540288201
Total Pages : 241 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis The Variational Bayes Method in Signal Processing by : Václav Šmídl

Download or read book The Variational Bayes Method in Signal Processing written by Václav Šmídl and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Treating VB approximation in signal processing, this monograph is for academic and industrial research groups in signal processing, data analysis, machine learning and identification. It reviews distributional approximation, showing that tractable algorithms for parametric model identification can be generated in off-line and on-line contexts.

Information-Theoretic Methods in Data Science

Author : Miguel R. D. Rodrigues
Publisher : Cambridge University Press
ISBN 13 : 1108427138
Total Pages : 561 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Information-Theoretic Methods in Data Science by : Miguel R. D. Rodrigues

Download or read book Information-Theoretic Methods in Data Science written by Miguel R. D. Rodrigues and published by Cambridge University Press. This book was released on 2021-04-08 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.

Source Separation and Machine Learning

Author : Jen-Tzung Chien
Publisher : Academic Press
ISBN 13 : 0128045779
Total Pages : 386 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Source Separation and Machine Learning by : Jen-Tzung Chien

Download or read book Source Separation and Machine Learning written by Jen-Tzung Chien and published by Academic Press. This book was released on 2018-10-16 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a whole system. Looking at different models, including independent component analysis (ICA), nonnegative matrix factorization (NMF), nonnegative tensor factorization (NTF), and deep neural network (DNN), the book addresses how they have evolved to deal with multichannel and single-channel source separation. - Emphasizes the modern model-based Blind Source Separation (BSS) which closely connects the latest research topics of BSS and Machine Learning - Includes coverage of Bayesian learning, sparse learning, online learning, discriminative learning and deep learning - Presents a number of case studies of model-based BSS (categorizing them into four modern models - ICA, NMF, NTF and DNN), using a variety of learning algorithms that provide solutions for the construction of BSS systems

Encyclopedia of Information Science and Technology, Fourth Edition

Author : Khosrow-Pour, D.B.A., Mehdi
Publisher : IGI Global
ISBN 13 : 1522522565
Total Pages : 8356 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Encyclopedia of Information Science and Technology, Fourth Edition by : Khosrow-Pour, D.B.A., Mehdi

Download or read book Encyclopedia of Information Science and Technology, Fourth Edition written by Khosrow-Pour, D.B.A., Mehdi and published by IGI Global. This book was released on 2017-06-20 with total page 8356 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, our world has experienced a profound shift and progression in available computing and knowledge sharing innovations. These emerging advancements have developed at a rapid pace, disseminating into and affecting numerous aspects of contemporary society. This has created a pivotal need for an innovative compendium encompassing the latest trends, concepts, and issues surrounding this relevant discipline area. During the past 15 years, the Encyclopedia of Information Science and Technology has become recognized as one of the landmark sources of the latest knowledge and discoveries in this discipline. The Encyclopedia of Information Science and Technology, Fourth Edition is a 10-volume set which includes 705 original and previously unpublished research articles covering a full range of perspectives, applications, and techniques contributed by thousands of experts and researchers from around the globe. This authoritative encyclopedia is an all-encompassing, well-established reference source that is ideally designed to disseminate the most forward-thinking and diverse research findings. With critical perspectives on the impact of information science management and new technologies in modern settings, including but not limited to computer science, education, healthcare, government, engineering, business, and natural and physical sciences, it is a pivotal and relevant source of knowledge that will benefit every professional within the field of information science and technology and is an invaluable addition to every academic and corporate library.

Recent Trends in Analysis of Images, Social Networks and Texts

Author : Dmitry I. Ignatov
Publisher : Springer Nature
ISBN 13 : 3031670086
Total Pages : 333 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Recent Trends in Analysis of Images, Social Networks and Texts by : Dmitry I. Ignatov

Download or read book Recent Trends in Analysis of Images, Social Networks and Texts written by Dmitry I. Ignatov and published by Springer Nature. This book was released on 2024 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book constitutes the refereed proceedings of the 11th International Conference on Recent Trends in Analysis of Images, Social Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28-30, 2023. The 19 full papers 2 short papers and 1 demo paper included in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: Natural Language Processing; Computer Vision; Data Analysis and Machine Learning; Network Analysis; Theoretical Machine Learning and Optimization; and Demo Paper

Robust Correlation

Author : Georgy L. Shevlyakov
Publisher : John Wiley & Sons
ISBN 13 : 1118493451
Total Pages : 353 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Robust Correlation by : Georgy L. Shevlyakov

Download or read book Robust Correlation written by Georgy L. Shevlyakov and published by John Wiley & Sons. This book was released on 2016-09-19 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions, as well as discussing the related concepts of correlation matrices, partial correlation, canonical correlation, rank correlations, with the corresponding robust and non-robust estimation procedures. Every chapter contains a set of examples with simulated and real-life data. Key features: Makes modern and robust correlation methods readily available and understandable to practitioners, specialists, and consultants working in various fields. Focuses on implementation of methodology and application of robust correlation with R. Introduces the main approaches in robust statistics, such as Huber’s minimax approach and Hampel’s approach based on influence functions. Explores various robust estimates of the correlation coefficient including the minimax variance and bias estimates as well as the most B- and V-robust estimates. Contains applications of robust correlation methods to exploratory data analysis, multivariate statistics, statistics of time series, and to real-life data. Includes an accompanying website featuring computer code and datasets Features exercises and examples throughout the text using both small and large data sets. Theoretical and applied statisticians, specialists in multivariate statistics, robust statistics, robust time series analysis, data analysis and signal processing will benefit from this book. Practitioners who use correlation based methods in their work as well as postgraduate students in statistics will also find this book useful.

Transitions from Digital Communications to Quantum Communications

Author : Malek Benslama
Publisher : John Wiley & Sons
ISBN 13 : 1848219253
Total Pages : 240 pages
Book Rating : 4.8/5 (482 download)

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Book Synopsis Transitions from Digital Communications to Quantum Communications by : Malek Benslama

Download or read book Transitions from Digital Communications to Quantum Communications written by Malek Benslama and published by John Wiley & Sons. This book was released on 2016-07-18 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the move towards quantum communications, in light of the recent technological developments on photonic crystals and their potential applications in systems. The authors present the state of the art on extensive quantum communications, the first part of the book being dedicated to the relevant theory; quantum gates such as Deutsch gates, Toffoli gates and Dedekind gates are reviewed with regards to their feasibility as electronic circuits and their implementation in systems, and a comparison is performed in parallel with conventional circuits such as FPGAs and DSPs. The specifics of quantum communication are also revealed through the entanglement and Bell states, and mathematical and physical aspects of quantum optical fibers and photonic crystals are considered in order to optimize the quantum transmissions. These concepts are linked with relevant, practical examples in the second part of the book, which presents six integrated applications for quantum communications.

Cognitive Radio Oriented Wireless Networks

Author : Mark Weichold
Publisher : Springer
ISBN 13 : 3319245406
Total Pages : 808 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Cognitive Radio Oriented Wireless Networks by : Mark Weichold

Download or read book Cognitive Radio Oriented Wireless Networks written by Mark Weichold and published by Springer. This book was released on 2015-10-12 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2015, held in Doha, Qatar, in April 2015. The 66 revised full papers presented were carefully reviewed and selected from 110 submissions and cover the evolution of cognitive radio technology pertaining to 5G networks. The papers are clustered to topics on dynamic spectrum access/management, networking protocols for CR, modeling and theory, HW architecture and implementations, next generation of cognitive networks, standards and business models, and emerging applications for cognitive networks.

Handbook of Position Location

Author : Reza Zekavat
Publisher : John Wiley & Sons
ISBN 13 : 1119434599
Total Pages : 1377 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Handbook of Position Location by : Reza Zekavat

Download or read book Handbook of Position Location written by Reza Zekavat and published by John Wiley & Sons. This book was released on 2019-01-28 with total page 1377 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of position location technology — from fundamental theory to advanced practical applications Positioning systems and location technologies have become significant components of modern life, used in a multitude of areas such as law enforcement and security, road safety and navigation, personnel and object tracking, and many more. Position location systems have greatly reduced societal vulnerabilities and enhanced the quality of life for billions of people around the globe — yet limited resources are available to researchers and students in this important field. The Handbook of Position Location: Theory, Practice, and Advances fills this gap, providing a comprehensive overview of both fundamental and cutting-edge techniques and introducing practical methods of advanced localization and positioning. Now in its second edition, this handbook offers broad and in-depth coverage of essential topics including Time of Arrival (TOA) and Direction of Arrival (DOA) based positioning, Received Signal Strength (RSS) based positioning, network localization, and others. Topics such as GPS, autonomous vehicle applications, and visible light localization are examined, while major revisions to chapters such as body area network positioning and digital signal processing for GNSS receivers reflect current and emerging advances in the field. This new edition: Presents new and revised chapters on topics including localization error evaluation, Kalman filtering, positioning in inhomogeneous media, and Global Positioning (GPS) in harsh environments Offers MATLAB examples to demonstrate fundamental algorithms for positioning and provides online access to all MATLAB code Allows practicing engineers and graduate students to keep pace with contemporary research and new technologies Contains numerous application-based examples including the application of localization to drone navigation, capsule endoscopy localization, and satellite navigation and localization Reviews unique applications of position location systems, including GNSS and RFID-based localization systems The Handbook of Position Location: Theory, Practice, and Advances is valuable resource for practicing engineers and researchers seeking to keep pace with current developments in the field, graduate students in need of clear and accurate course material, and university instructors teaching the fundamentals of wireless localization.

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

Author : Wei Lee Woon
Publisher : Springer
ISBN 13 : 3030043037
Total Pages : 175 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Data Analytics for Renewable Energy Integration. Technologies, Systems and Society by : Wei Lee Woon

Download or read book Data Analytics for Renewable Energy Integration. Technologies, Systems and Society written by Wei Lee Woon and published by Springer. This book was released on 2018-11-16 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018. The 9 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response, and many others.

Handbook of Robust Low-Rank and Sparse Matrix Decomposition

Author : Thierry Bouwmans
Publisher : CRC Press
ISBN 13 : 1315353539
Total Pages : 510 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Handbook of Robust Low-Rank and Sparse Matrix Decomposition by : Thierry Bouwmans

Download or read book Handbook of Robust Low-Rank and Sparse Matrix Decomposition written by Thierry Bouwmans and published by CRC Press. This book was released on 2016-09-20 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions, algorithms, implementations, and benchmarking techniques. Divided into five parts, the book begins with an overall introduction to robust principal component analysis (PCA) via decomposition into low-rank and sparse matrices. The second part addresses robust matrix factorization/completion problems while the third part focuses on robust online subspace estimation, learning, and tracking. Covering applications in image and video processing, the fourth part discusses image analysis, image denoising, motion saliency detection, video coding, key frame extraction, and hyperspectral video processing. The final part presents resources and applications in background/foreground separation for video surveillance. With contributions from leading teams around the world, this handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix decompositions. It is designed for researchers, developers, and graduate students in computer vision, image and video processing, real-time architecture, machine learning, and data mining.