Probabilistic systems and random signals

Author: Abraham H. Haddad
Publisher: Prentice Hall
ISBN:
Format: PDF
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In-depth mathematical treatment, including examples of real systems to explain many of the probabilistic models and the use of Matlab both in examples and problem assignments, ensures students can relate to the mathematical material in practical terms Unique applications--covering issues such as reliability, measurement errors, and arrival and departure of events in networks--provide students with a broader range of topical coverage.

Probability Random Signals and Statistics

Author: X. Rong Li
Publisher: CRC Press
ISBN: 9780849304330
Format: PDF, ePub, Docs
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With this innovative text, the study-and teaching- of probability and random signals becomes simpler, more streamlined, and more effective. Its unique "textgraph" format makes it both student-friendly and instructor-friendly. Pages with a larger typeface form a concise text for basic topics and make ideal transparencies; pages with smaller type provide more detailed explanations and more advanced material.

Random Signals and Processes Primer with MATLAB

Author: Gordana Jovanovic Dolecek
Publisher: Springer Science & Business Media
ISBN: 1461423864
Format: PDF, ePub
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This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics. It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields. All of this is motivated by numerous examples implemented with MATLAB, as well as a variety of exercises at the end of each chapter.

Dynamic Probabilistic Systems

Author: Ronald A. Howard
Publisher: Courier Corporation
ISBN: 0486140679
Format: PDF, ePub, Docs
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An integrated work in two volumes, this text teaches readers to formulate, analyze, and evaluate Markov models. The first volume treats basic process; the second, semi-Markov and decision processes. 1971 edition.

Random Signals

Author: K. Sam Shanmugan
Publisher: Wiley
ISBN: 9780471815556
Format: PDF, Mobi
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Random Signals, Noise and Filtering develops the theory of random processes and its application to the study of systems and analysis of random data. The text covers three important areas: (1) fundamentals and examples of random process models, (2) applications of probabilistic models: signal detection, and filtering, and (3) statistical estimation--measurement and analysis of random data to determine the structure and parameter values of probabilistic models. This volume by Breipohl and Shanmugan offers the only one-volume treatment of the fundamentals of random process models, their applications, and data analysis.

Probability and Random Processes

Author: Venkatarama Krishnan
Publisher: John Wiley & Sons
ISBN: 0471998281
Format: PDF, Kindle
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A resource for probability AND random processes, with hundreds ofworked examples and probability and Fourier transform tables This survival guide in probability and random processes eliminatesthe need to pore through several resources to find a certainformula or table. It offers a compendium of most distributionfunctions used by communication engineers, queuing theoryspecialists, signal processing engineers, biomedical engineers,physicists, and students. Key topics covered include: * Random variables and most of their frequently used discrete andcontinuous probability distribution functions * Moments, transformations, and convergences of randomvariables * Characteristic, generating, and moment-generating functions * Computer generation of random variates * Estimation theory and the associated orthogonalityprinciple * Linear vector spaces and matrix theory with vector and matrixdifferentiation concepts * Vector random variables * Random processes and stationarity concepts * Extensive classification of random processes * Random processes through linear systems and the associated Wienerand Kalman filters * Application of probability in single photon emission tomography(SPECT) More than 400 figures drawn to scale assist readers inunderstanding and applying theory. Many of these figures accompanythe more than 300 examples given to help readers visualize how tosolve the problem at hand. In many instances, worked examples aresolved with more than one approach to illustrate how differentprobability methodologies can work for the same problem. Several probability tables with accuracy up to nine decimal placesare provided in the appendices for quick reference. A specialfeature is the graphical presentation of the commonly occurringFourier transforms, where both time and frequency functions aredrawn to scale. This book is of particular value to undergraduate and graduatestudents in electrical, computer, and civil engineering, as well asstudents in physics and applied mathematics. Engineers, computerscientists, biostatisticians, and researchers in communicationswill also benefit from having a single resource to address mostissues in probability and random processes.

Systems Biology and Bioinformatics

Author: Kayvan Najarian
Publisher: CRC Press
ISBN: 1439882940
Format: PDF
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The availability of molecular imaging and measurement systems enables today’s biologists to swiftly monitor thousands of genes involved in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides students with a comprehensive collection of the computational methods used in what is being coined the digital era of biology. Written by field experts with proven track records, this authoritative textbook first provides an introduction to systems biology and its impact on biology and medicine. The book then reviews the basic principles of molecular and cell biology using a system-oriented approach, with a brief description of the high-throughput biological experiments that produce databases. The text includes techniques to discover genes, perform nucleotide and amino acid sequence matching, and estimate static gene dynamic pathways. The book also explains how to use system-oriented models to predict the behavior of biological systems for important applications such as rational drug design. The numerous examples and problem sets allow students to confidently explore practical systems biology applications using real examples with real biological data, making Systems Biology and Bioinformatics: A Computational Approach an ideal text for senior undergraduate and first-year graduate students.

Engineering applications of stochastic processes

Author: Alexander Zayezdny
Publisher: Research Studie
ISBN:
Format: PDF, Kindle
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A concise, systematic treatment of probabilistic calculations of the sort used in electronic communication, radar, and automatic control. Appropriate as a text in stochastic processes, statistical communication methods, or automatic control. First section discusses random variables. Second section deals with random processes, and response of linear systems to random processes. Each theoretical topic is followed by a description of the associated computational procedures. Chapters contain problems, with solutions.