Codes, Graphs, and Systems

Codes, Graphs, and Systems

Author: Richard E. Blahut

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 458

ISBN-13: 1461508959

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Foreword by James L. Massey. Codes, Graphs, and Systems is an excellent reference for both academic researchers and professional engineers working in the fields of communications and signal processing. A collection of contributions from world-renowned experts in coding theory, information theory, and signal processing, the book provides a broad perspective on contemporary research in these areas. Survey articles are also included. Specific topics covered include convolutional codes and turbo codes; detection and equalization; modems; physics and information theory; lattices and geometry; and behaviors and codes on graphs. Codes, Graphs, and Systems is a tribute to the leadership and profound influence of G. David Forney, Jr. The 35 contributors to the volume have assembled their work in his honor.


Codes, Systems, and Graphical Models

Codes, Systems, and Graphical Models

Author: Brian Marcus

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 520

ISBN-13: 1461301653

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Coding theory, system theory, and symbolic dynamics have much in common. A major new theme in this area of research is that of codes and systems based on graphical models. This volume contains survey and research articles from leading researchers at the interface of these subjects.


Designs, Graphs, Codes and their Links

Designs, Graphs, Codes and their Links

Author: P. J. Cameron

Publisher: Cambridge University Press

Published: 1991-09-19

Total Pages: 252

ISBN-13: 9780521423854

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This book stresses the connection between, and the applications of, design theory to graphs and codes. Beginning with a brief introduction to design theory and the necessary background, the book also provides relevant topics for discussion from the theory of graphs and codes.


Fundamentals of Codes, Graphs, and Iterative Decoding

Fundamentals of Codes, Graphs, and Iterative Decoding

Author: Stephen B. Wicker

Publisher: Springer Science & Business Media

Published: 2006-04-18

Total Pages: 241

ISBN-13: 0306477947

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Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.


R Graphics Cookbook

R Graphics Cookbook

Author: Winston Chang

Publisher: "O'Reilly Media, Inc."

Published: 2013

Total Pages: 414

ISBN-13: 1449316956

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"Practical recipes for visualizing data"--Cover.


Graph Representation Learning

Graph Representation Learning

Author: William L. William L. Hamilton

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 141

ISBN-13: 3031015886

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Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.


Database Systems for Advanced Applications '97

Database Systems for Advanced Applications '97

Author: Rodney Topor

Publisher: World Scientific

Published: 1997

Total Pages: 567

ISBN-13: 9810231075

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This volume contains the proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA '97). DASFAA '97 focused on advanced database technologies and their applications. The 55 papers in this volume cover a wide range of areas in the field of database systems and applications ? including the rapidly emerging areas of the Internet, multimedia, and document database systems ? and should be of great interest to all database system researchers and developers, and practitioners.


Fundamentals of Automotive Technology

Fundamentals of Automotive Technology

Author: Vangelder

Publisher: Jones & Bartlett Learning

Published: 2017-02-24

Total Pages: 1884

ISBN-13: 128410995X

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Revised edition of: Fundamentals of automotive maintenance and light repair / Kirk T. VanGelder. 2015.


Graph-Based Modelling in Engineering

Graph-Based Modelling in Engineering

Author: Stanisław Zawiślak

Publisher: Springer

Published: 2016-09-30

Total Pages: 239

ISBN-13: 3319390201

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This book presents versatile, modern and creative applications of graph theory in mechanical engineering, robotics and computer networks. Topics related to mechanical engineering include e.g. machine and mechanism science, mechatronics, robotics, gearing and transmissions, design theory and production processes. The graphs treated are simple graphs, weighted and mixed graphs, bond graphs, Petri nets, logical trees etc. The authors represent several countries in Europe and America, and their contributions show how different, elegant, useful and fruitful the utilization of graphs in modelling of engineering systems can be.