Science And Information Theory
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Science And Information Theory
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Author : Leon Brillouin
language : en
Publisher: Courier Corporation
Release Date : 2013-07-17
Science And Information Theory written by Leon Brillouin and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-17 with Science categories.
Geared toward upper-level undergraduates and graduate students, this classic resource by a giant of 20th-century mathematics applies principles of information theory to Maxwell's demon, thermodynamics, and measurement problems. 1962 edition.
Science And Information Theory
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Author : Léon Brillouin
language : en
Publisher:
Release Date : 1968
Science And Information Theory written by Léon Brillouin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Information theory categories.
35 Key Concepts In Information Theory Explained In 7 Minutes Each
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Author : Nietsnie Trebla
language : en
Publisher: Shelf Indulgence
Release Date :
35 Key Concepts In Information Theory Explained In 7 Minutes Each written by Nietsnie Trebla and has been published by Shelf Indulgence this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
35 Key Concepts in Information Theory Explained in 7 Minutes Each In our increasingly interconnected world, understanding the fundamentals of information theory is essential for navigating the complexities of communication, data analysis, and technological advancement. '35 Key Concepts in Information Theory Explained in 7 Minutes Each' serves as an accessible guide designed for both novices and seasoned professionals seeking to grasp the core principles that underpin this vital field. Each chapter distills a fundamental concept of information theory into a concise, digestible format, taking no more than seven minutes to read. This structured approach enables readers to quickly assimilate knowledge and apply it to real-world situations. Chapters Overview: The Concept of Information: Definition and Measurement - Explore how information is defined and quantified. Entropy: The Measure of Uncertainty - Understand the concept of uncertainty and how it relates to information. Shannon's Noisy Channel Coding Theorem - Learn about the foundational theorem that governs communication in the presence of noise. Information Compression: Lossless vs. Lossy - Discover the techniques behind optimizing data storage and transmission. Mutual Information: A Measure of Shared Information - Dive into the quantification of shared data between systems. The Role of Redundancy in Communication Systems - Understand how redundancy can enhance communication reliability. Channel Capacity: Theoretical Limits of Transmission - Examine the upper limits of data transfer rates. Error Correction Codes: Ensuring Reliable Communication - Explore methods for correcting errors in data transmission. Data Transmission vs. Data Storage: A Distinction - Clarify the differences between these two essential aspects of information handling. The Source Coding Theorem: Optimal Data Representation - Learn how to achieve the most efficient data representation. Applications of Information Theory in Cryptography - Investigate how information theory underpins secure communications. Kolmogorov Complexity: Understanding Algorithmic Information - Delve into measuring the complexity of data sets. Universal Sources and the Concept of Randomness - Explore the nature of randomness and its implications for information theory. The Emergence of Quantum Information Theory - Discover the intersection of quantum mechanics and information science. Information Theory in Machine Learning and AI - Understand the foundational role of information theory in developing smart technologies. Applications in Biology: Biological Information and Genomes - Examine how information theory applies to genetics and biological processes. The Role of Information Theory in Networking - Learn how information theory shapes modern networking protocols. The Information Bottleneck Principle - Explore how to balance the trade-off between complexity and accuracy. Cross Entropy and KL Divergence: Measuring Differences - Understand these important metrics for comparing probability distributions. Predictive Coding: The Brain as a Bayesian Machine - Investigate how the brain processes information through predictive mechanisms. The Impact of Information Theory on Telecom Innovations - Learn how the field has transformed telecommunications. Coding Theorems in Modern Satellite Communication - Explore the application of coding theory in satellite technologies. Information Theory and the Second Law of Thermodynamics - Discover the relationship between information and thermodynamic principles. Game Theory and Information: Strategies Under Uncertainty - Analyze how information theory informs strategic decision-making. Influence of Information Theory on Signal Processing - Learn about the significant impact on how signals are analyzed and processed. Data Privacy and Information Theoretic Security - Examine principles that safeguard data privacy in an interconnected world. Information Theory in Digital Forensics - Understand how these concepts apply to forensic investigations. Adaptive Coding and Modulation Techniques - Explore modern methods for optimizing data transmission. Information Theoretic Essentials in Social Networks - Learn how information flows in social media environments. The Role of Information Theory in Data Science - Delve into the importance of information metrics in data analysis. Causal Inference and the Information Perspective - Explore the use of information theory in determining causality. Information Theory and Structured Prediction - Investigate how structured predictions can be enhanced by information theory. The Future of Information Theory: Challenges and Directions - Discuss emerging challenges and future research directions in the field. Philosophical Implications of Information as a Concept - Reflect on the deeper meanings and impacts of information in society and thought. This book acts as a perfect springboard for those looking to deepen their understanding of information theory, whether for academic purposes, professional development, or personal curiosity. Dive into the world of information with confidence and clarity!
Science And Information Theory
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Author : L. Brillouin
language : en
Publisher:
Release Date : 1957
Science And Information Theory written by L. Brillouin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1957 with categories.
Elementary Information Theory
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Author : Douglas Samuel Jones
language : en
Publisher: Oxford University Press, USA
Release Date : 1979
Elementary Information Theory written by Douglas Samuel Jones and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Computers categories.
Elements Of Information Theory
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Author : Thomas M. Cover
language : en
Publisher: John Wiley & Sons
Release Date : 2006-07-18
Elements Of Information Theory written by Thomas M. Cover and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-18 with Computers categories.
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: Chapters reorganized to improve teaching 200 new problems New material on source coding, portfolio theory, and feedback capacity Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
Photogrammetria
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Author :
language : en
Publisher:
Release Date : 1958
Photogrammetria written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1958 with Aerial photography categories.
Information Theory And Evolution
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Author : John Avery
language : en
Publisher: World Scientific
Release Date : 2012
Information Theory And Evolution written by John Avery and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
This book discusses the phenomenon of life, including its origin and evolution (and also human cultural evolution), against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems. This paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources, as the author will show. The role of information in human cultural evolution is another focus of the book. This new edition discusses current research on the origin of life, the distinction between thermodynamic information and cybernetic information, new DNA research and human prehistory, developments in current information technology, and the relationship between entropy and economics.
A First Course In Information Theory
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Author : Raymond W. Yeung
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
A First Course In Information Theory written by Raymond W. Yeung and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
A First Course in Information Theory is an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.
Scientific Uncertainty And Information
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Author : Leon Brillouin
language : en
Publisher: Academic Press
Release Date : 2014-05-12
Scientific Uncertainty And Information written by Leon Brillouin and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Science categories.
Scientific Uncertainty and Information focuses on the validation of theories developed in physics, chemistry, biology, and other fields of science. The book first elaborates on thermodynamics, statistics, and information and the importance of scientific laws. Discussions focus on the importance and value of theories, empirical and theoretical laws, scientific laws and negentropy, principles of thermodynamics, entropy and value, negentropy, and energy degradation, and thermodynamics and information theory. The text then ponders on mathematical theorems and physical theories, imagination and invention in a theory, and causality and determinism. The manuscript underscores the weaknesses and limitations of mechanics and Poincare and the shortcomings of the Hamilton-Jacobi method for classical or quantized mechanics. Topics include the discussion of a simple example with two variables; degeneracy conditions and the possibility of finding a Hamilton-Jacobi transformation function; approximations for nondegenerate systems; methods of analytical dynamics for separated variables; and the objective world and the problem of determinism. The publication is a dependable reference for researchers interested in the validation of theories in science.