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Robust Minimas Source Coding With A Fidelity Criterion
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Book Synopsis Robust Minimas Source Coding With a Fidelity Criterion by :
Download or read book Robust Minimas Source Coding With a Fidelity Criterion written by and published by . This book was released on 1986 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of minimax robust source coding under a fidelity criterion for sources whose statistics belong to uncertainty classes determined by 2- alternating Choquet capacities is examined. We consider (i) single-letter difference distortion criteria for discrete memoryless sources whose probability distributions belong to capacity classes and (ii) the mean- square error distortion criterion for stationary Gaussian sources whose spectral measures belong to capacity classes. Both block source codes and trellis source codes are considered. It is shown that there exists an ensemble of block source codes and an ensemble of trellis codes such that for all rates larger than a critical rate and all sources in the class the average distortion converges to any prescribed fidelity level exponentially with increasing block length or constraint length, respectively Besides the rate distortion function, the distortion exponent of the class is also evaluated.
Book Synopsis Algorithms for Three Source Coding with a Fidelity Criterion by : John Bailey Anderson
Download or read book Algorithms for Three Source Coding with a Fidelity Criterion written by John Bailey Anderson and published by . This book was released on 1972 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Coding Binary Sources with a Fidelity Criterion by : Stevan Douglas Bradley
Download or read book Coding Binary Sources with a Fidelity Criterion written by Stevan Douglas Bradley and published by . This book was released on 1971 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Source Coding with Respect to a Multidimensional Fidelity Criterion by : Jan-Erik Stjernvall
Download or read book Source Coding with Respect to a Multidimensional Fidelity Criterion written by Jan-Erik Stjernvall and published by . This book was released on 1980 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Anderson, J. B Publisher :Hamilton, Ont. : Communications Research Laboratory, Faculty of Engineering, McMaster University ISBN 13 : Total Pages : pages Book Rating :4.:/5 (1 download)
Book Synopsis A Stack Algorithm for Source Coding with a Fidelity Criterion by : Anderson, J. B
Download or read book A Stack Algorithm for Source Coding with a Fidelity Criterion written by Anderson, J. B and published by Hamilton, Ont. : Communications Research Laboratory, Faculty of Engineering, McMaster University. This book was released on 1973 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Coding with a Fidelity Criterion of Sources with Unknown Statistics by : Jacob Ziv
Download or read book Coding with a Fidelity Criterion of Sources with Unknown Statistics written by Jacob Ziv and published by . This book was released on 1970 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Anderson, J. B Publisher :Hamilton, Ont. : Communications Research Laboratory, Faculty of Engineering, McMaster University ISBN 13 : Total Pages : pages Book Rating :4.:/5 (1 download)
Book Synopsis Asymptotic Computation of Certain Sequential Algorithms for Source Coding with a Fidelity Criterion, with Appendix by : Anderson, J. B
Download or read book Asymptotic Computation of Certain Sequential Algorithms for Source Coding with a Fidelity Criterion, with Appendix written by Anderson, J. B and published by Hamilton, Ont. : Communications Research Laboratory, Faculty of Engineering, McMaster University. This book was released on 1975 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis New Fidelity Criteria for Discrete-Time Source Encoding by : J. T. Rickard
Download or read book New Fidelity Criteria for Discrete-Time Source Encoding written by J. T. Rickard and published by . This book was released on 1978 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: A probabilistic approach to the source encoding problem requires the specification of a fidelity criterion which measures the degradation of the source output produced by the encoding transformation. Historically, the fidelity criteria generated by difference-type distortion measures have received by far the widest acceptance, due in part to their analytical tractability. This paper introduces two new fidelity criteria for discrete-time sources. These are designated as the mean incoherence(MIC) and the mean log-coherence (MLC). Both criteria are functionals of the magnitude-squared coherence between the source output and its reproduction, and thus do not admit a recognizable time-domain distortion measure representation. Interesting features of these fidelity criteria are indicated, and comparisons are made with the classical mean-squared error (MSE) fidelity criterion. The rate-distortion functions for a stationary Gaussian source subject to constraints on either the MIC or MLC are derived, and the corresponding optimum encoder behavior is described. Finally, the applications where these new fidelity criteria may be advantageous over the MSE criterion are discussed. (Author).
Book Synopsis Robust Source Coding Based on Forward Error Correcting Codes (FEC Source Coding) by : Nicolas Dütsch
Download or read book Robust Source Coding Based on Forward Error Correcting Codes (FEC Source Coding) written by Nicolas Dütsch and published by . This book was released on 2008 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Feedback Systems by : Karl Johan Åström
Download or read book Feedback Systems written by Karl Johan Åström and published by Princeton University Press. This book was released on 2021-02-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
Book Synopsis Redundancy of Lossless Data Compression for Known Sources by Analytic Methods by : Michael Drmota
Download or read book Redundancy of Lossless Data Compression for Known Sources by Analytic Methods written by Michael Drmota and published by . This book was released on 2017 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lossless data compression is a facet of source coding and a well studied problem of information theory. Its goal is to find a shortest possible code that can be unambiguously recovered. Here, we focus on rigorous analysis of code redundancy for known sources. The redundancy rate problem determines by how much the actual code length exceeds the optimal code length. We present precise analyses of three types of lossless data compression schemes, namely fixed-to-variable (FV) length codes, variable-to-fixed (VF) length codes, and variable to- variable (VV) length codes. In particular, we investigate the average redundancy of Shannon, Huffman, Tunstall, Khodak and Boncelet codes. These codes have succinct representations as trees, either as coding or parsing trees, and we analyze here some of their parameters (e.g., the average path from the root to a leaf). Such trees are precisely analyzed by analytic methods, known also as analytic combinatorics, in which complex analysis plays decisive role. These tools include generating functions, Mellin transform, Fourier series, saddle point method, analytic poissonization and depoissonization, Tauberian theorems, and singularity analysis. The term analytic information theory has been coined to describe problems of information theory studied by analytic tools. This approach lies on the crossroad of information theory, analysis of algorithms, and combinatorics.
Book Synopsis Rate Distortion Theory by : Toby Berger
Download or read book Rate Distortion Theory written by Toby Berger and published by . This book was released on 1971 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Design Optimization Based on Metamodeling Techniques by : Florian Jurecka
Download or read book Robust Design Optimization Based on Metamodeling Techniques written by Florian Jurecka and published by . This book was released on 2007 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book R for Everyone written by Jared P. Lander and published by Addison-Wesley Professional. This book was released on 2017-06-13 with total page 1456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.
Download or read book Surrogates written by Robert B. Gramacy and published by CRC Press. This book was released on 2020-03-10 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer simulation experiments are essential to modern scientific discovery, whether that be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are meta-models of computer simulations, used to solve mathematical models that are too intricate to be worked by hand. Gaussian process (GP) regression is a supremely flexible tool for the analysis of computer simulation experiments. This book presents an applied introduction to GP regression for modelling and optimization of computer simulation experiments. Features: • Emphasis on methods, applications, and reproducibility. • R code is integrated throughout for application of the methods. • Includes more than 200 full colour figures. • Includes many exercises to supplement understanding, with separate solutions available from the author. • Supported by a website with full code available to reproduce all methods and examples. The book is primarily designed as a textbook for postgraduate students studying GP regression from mathematics, statistics, computer science, and engineering. Given the breadth of examples, it could also be used by researchers from these fields, as well as from economics, life science, social science, etc.
Book Synopsis Algorithms for Image Processing and Computer Vision by : J. R. Parker
Download or read book Algorithms for Image Processing and Computer Vision written by J. R. Parker and published by John Wiley & Sons. This book was released on 2010-11-29 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.
Author :Mikhail V. Volkenstein Publisher :Springer Science & Business Media ISBN 13 :303460078X Total Pages :214 pages Book Rating :4.0/5 (346 download)
Book Synopsis Entropy and Information by : Mikhail V. Volkenstein
Download or read book Entropy and Information written by Mikhail V. Volkenstein and published by Springer Science & Business Media. This book was released on 2009-10-27 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is just...entropy, he said, thinking that this explained everything, and he repeated the strange word a few times. 1 ? Karel Capek , “Krakatit” This “strange word” denotes one of the most basic quantities of the physics of heat phenomena, that is, of thermodynamics. Although the concept of entropy did indeed originate in thermodynamics, it later became clear that it was a more universal concept, of fundamental signi?cance for chemistry and biology, as well as physics. Although the concept of energy is usually considered more important and easier to grasp, it turns out, as we shall see, that the idea of entropy is just as substantial—and moreover not all that complicated. We can compute or measure the quantity of energy contained in this sheet of paper, and the same is true of its entropy. Furthermore, entropy has remarkable properties. Our galaxy, the solar system, and the biosphere all take their being from entropy, as a result of its transferenceto the surrounding medium. Thereis a surprisingconnectionbetween entropyandinformation,thatis,thetotalintelligencecommunicatedbyamessage. All of this is expounded in the present book, thereby conveying informationto the readeranddecreasinghis entropy;butitis uptothe readertodecidehowvaluable this information might be.
