## Probabilistic systems and random signals

**Author**: Abraham H. Haddad

**Publisher:**Prentice Hall

**ISBN:**N.A

**Category:**Business & Economics

**Page:**430

**View:**4512

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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.

## Random Signals and Processes Primer with MATLAB

**Author**: Gordana Jovanovic Dolecek

**Publisher:**Springer Science & Business Media

**ISBN:**1461423864

**Category:**Technology & Engineering

**Page:**530

**View:**1913

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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.

## Probability, Random Signals, and Statistics

**Author**: X. Rong Li

**Publisher:**CRC Press

**ISBN:**9780849304330

**Category:**Technology & Engineering

**Page:**472

**View:**6095

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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.

## Advanced Signal Processing and Digital Noise Reduction

**Author**: Saeed V. Vaseghi

**Publisher:**Springer-Verlag

**ISBN:**3322927733

**Category:**Technology & Engineering

**Page:**397

**View:**7430

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## Probability and Random Processes

**Author**: Venkatarama Krishnan

**Publisher:**John Wiley & Sons

**ISBN:**0471998281

**Category:**Mathematics

**Page:**420

**View:**2807

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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.

## Random Signals

*Detection, Estimation and Data Analysis*

**Author**: K. Sam Shanmugan,Arthur M. Breipohl

**Publisher:**Wiley

**ISBN:**9780471815556

**Category:**Science

**Page:**688

**View:**993

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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.

## Advanced Digital Signal Processing and Noise Reduction

**Author**: Saeed V. Vaseghi

**Publisher:**John Wiley & Sons

**ISBN:**0470740167

**Category:**Science

**Page:**544

**View:**4119

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Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.

## Die Berechnung der Zukunft

*Warum die meisten Prognosen falsch sind und manche trotzdem zutreffen - Der New York Times Bestseller*

**Author**: Nate Silver

**Publisher:**Heyne Verlag

**ISBN:**3641112702

**Category:**Business & Economics

**Page:**656

**View:**1029

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Zuverlässige Vorhersagen sind doch möglich! Nate Silver ist der heimliche Gewinner der amerikanischen Präsidentschaftswahlen 2012: ein begnadeter Statistiker, als »Prognose-Popstar« und »Wundernerd« weltberühmt geworden. Er hat die Wahlergebnisse aller 50 amerikanischen Bundesstaaten absolut exakt vorausgesagt – doch damit nicht genug: Jetzt zeigt Nate Silver, wie seine Prognosen in Zukunft Terroranschläge, Umweltkatastrophen und Finanzkrisen verhindern sollen. Gelingt ihm die Abschaffung des Zufalls? Warum werden Wettervorhersagen immer besser, während die Terrorattacken vom 11.09.2001 niemand kommen sah? Warum erkennen Ökonomen eine globale Finanzkrise nicht einmal dann, wenn diese bereits begonnen hat? Das Problem ist nicht der Mangel an Informationen, sondern dass wir die verfügbaren Daten nicht richtig deuten. Zuverlässige Prognosen aber würden uns helfen, Zufälle und Ungewissheiten abzuwehren und unser Schicksal selbst zu bestimmen. Nate Silver zeigt, dass und wie das geht. Erstmals wendet er seine Wahrscheinlichkeitsrechnung nicht nur auf Wahlprognosen an, sondern auf die großen Probleme unserer Zeit: die Finanzmärkte, Ratingagenturen, Epidemien, Erdbeben, den Klimawandel, den Terrorismus. In all diesen Fällen gibt es zahlreiche Prognosen von Experten, die er überprüft – und erklärt, warum sie meist falsch sind. Gleichzeitig schildert er, wie es gelingen kann, im Rauschen der Daten die wesentlichen Informationen herauszufiltern. Ein unterhaltsamer und spannender Augenöffner!

## Random Signals for Engineers Using MATLAB and Mathcad: Text

**Author**: Richard C. Jaffe

**Publisher:**Springer Science & Business Media

**ISBN:**9780387989563

**Category:**Computers

**Page:**374

**View:**3122

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Windows-Version

## Random Signal Analysis in Engineering Systems

**Author**: John Komo

**Publisher:**Elsevier

**ISBN:**0323156274

**Category:**Technology & Engineering

**Page:**316

**View:**6072

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Random Signal Analysis in Engineering Systems

## Probability, Random Variables, and Random Processes

*Theory and Signal Processing Applications*

**Author**: John J. Shynk

**Publisher:**John Wiley & Sons

**ISBN:**1118393953

**Category:**Computers

**Page:**794

**View:**3126

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Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some familiarity with probability and random variables, though not necessarily of random processes and systems that operate on random signals. It is also appropriate for advanced undergraduate students who have a strong mathematical background. The book has the following features: Several appendices include related material on integration, important inequalities and identities, frequency-domain transforms, and linear algebra. These topics have been included so that the book is relatively self-contained. One appendix contains an extensive summary of 33 random variables and their properties such as moments, characteristic functions, and entropy. Unlike most books on probability, numerous figures have been included to clarify and expand upon important points. Over 600 illustrations and MATLAB plots have been designed to reinforce the material and illustrate the various characterizations and properties of random quantities. Sufficient statistics are covered in detail, as is their connection to parameter estimation techniques. These include classical Bayesian estimation and several optimality criteria: mean-square error, mean-absolute error, maximum likelihood, method of moments, and least squares. The last four chapters provide an introduction to several topics usually studied in subsequent engineering courses: communication systems and information theory; optimal filtering (Wiener and Kalman); adaptive filtering (FIR and IIR); and antenna beamforming, channel equalization, and direction finding. This material is available electronically at the companion website. Probability, Random Variables, and Random Processes is the only textbook on probability for engineers that includes relevant background material, provides extensive summaries of key results, and extends various statistical techniques to a range of applications in signal processing.

## Probability for Electrical and Computer Engineers

**Author**: Charles Therrien,Murali Tummala

**Publisher:**CRC Press

**ISBN:**0203492617

**Category:**Technology & Engineering

**Page:**328

**View:**8008

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Scientists and engineers must use methods of probability to predict the outcome of experiments, extrapolate results from a small case to a larger one, and design systems that will perform optimally when the exact characteristics of the inputs are unknown. While many engineering books dedicated to the advanced aspects of random processes and systems include background information on probability, an introductory text devoted specifically to probability and with engineering applications is long overdue. Probability for Electrical and Computer Engineers provides an introduction to probability and random variables. Written in a clear and concise style that makes the topic interesting and relevant for electrical and computer engineering students, the text also features applications and examples useful to anyone involved in other branches of engineering or physical sciences. Chapters focus on the probability model, random variables and transformations, inequalities and limit theorems, random processes, and basic combinatorics. These topics are reinforced with computer projects available on the CRC Press Web site. This unique book enhances the understanding of probability by introducing engineering applications and examples at the earliest opportunity, as well as throughout the text. Electrical and computer engineers seeking solutions to practical problems will find it a valuable resource in the design of communication systems, control systems, military or medical sensing or monitoring systems, and computer networks.

## Probability and Random Processes for Electrical and Computer Engineers

**Author**: Charles Therrien,Murali Tummala

**Publisher:**CRC Press

**ISBN:**1439897492

**Category:**Computers

**Page:**431

**View:**4077

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With updates and enhancements to the incredibly successful first edition, Probability and Random Processes for Electrical and Computer Engineers, Second Edition retains the best aspects of the original but offers an even more potent introduction to probability and random variables and processes. Written in a clear, concise style that illustrates the subject’s relevance to a wide range of areas in engineering and physical and computer sciences, this text is organized into two parts. The first focuses on the probability model, random variables and transformations, and inequalities and limit theorems. The second deals with several types of random processes and queuing theory. New or Updated for the Second Edition: A short new chapter on random vectors that adds some advanced new material and supports topics associated with discrete random processes Reorganized chapters that further clarify topics such as random processes (including Markov and Poisson) and analysis in the time and frequency domain A large collection of new MATLAB®-based problems and computer projects/assignments Each Chapter Contains at Least Two Computer Assignments Maintaining the simplified, intuitive style that proved effective the first time, this edition integrates corrections and improvements based on feedback from students and teachers. Focused on strengthening the reader’s grasp of underlying mathematical concepts, the book combines an abundance of practical applications, examples, and other tools to simplify unnecessarily difficult solutions to varying engineering problems in communications, signal processing, networks, and associated fields.

## Prob, Stats & Random Proc 3E

**Author**: Veerarajan

**Publisher:**Tata McGraw-Hill Education

**ISBN:**9780070669253

**Category:**Mathematical statistics

**Page:**595

**View:**1785

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## Textbook of Signals and Systems

**Author**: Harish Parthasarathy

**Publisher:**I. K. International Pvt Ltd

**ISBN:**8188237191

**Category:**Signal processing

**Page:**382

**View:**6166

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With Special Key Features: * Over 350 Solved problems * An advanced approach to the area of Signals & Systems * Features practically oriented problems with solutions * A must for every student studying Signals & Systems * Problems featured, cater to students from Undergraduate to Research level This book features problems with solutions to all the core areas of Signals and Systems. The ethos of the book is to enable the reader to solve problems that have a practical relevance. This can be the perfect book to follow along with a textbook. Whilst catering to the needs of the undergraduate and graduate students, students with a research bent of mind will also find the book stimulating and challenging enough to formulate their own research problems along the lines suggested by the exercises.

## Systems Biology and Bioinformatics

*A Computational Approach*

**Author**: Kayvan Najarian,Siamak Najarian,Shahriar Gharibzadeh,Christopher N. Eichelberger

**Publisher:**CRC Press

**ISBN:**1439882940

**Category:**Medical

**Page:**190

**View:**2682

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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

*theory, problems and solutions*

**Author**: Alexander Zayezdny,Daniel Tabak,Dov Wulich,Peter Smith

**Publisher:**Research Studie

**ISBN:**N.A

**Category:**Science

**Page:**509

**View:**330

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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.

## Probability Theory and Random Processes

**Author**: P Ramesh Babu

**Publisher:**McGraw-Hill Education

**ISBN:**9332902909

**Category:**

**Page:**N.A

**View:**6161

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ÿDesigned for the undergraduate students of engineering, this book aims to introduce the reader to the world of random signals and their analyses ? both of which are extremely crucial to the everyday life as well as professional capacity of the computer science and communication engineers. Probability Theory and Random Processes helps model and analyse random signals and their impact on system performances through a problem solving approach. In a highly pedagogical manner, the text carefully navigates through randomness of signal behaviour, thus helping the student grasp the content easily Salient Features : ? Pedagogy designed on examination patterns! o Solved Examples: 809!! o Practice Problems: 247 o Exercise Problems: 255 o Review Questions: 295 o MCQs: 211 o Diagrams: 216 ? Mathematical models explained following step-by-step approach ? Application based problems discussed aplenty

## Probabilistic Methods of Signal and System Analysis

**Author**: George R. Cooper,Clare D. McGillem

**Publisher:**Oxford Series in Electrical an

**ISBN:**9780195123548

**Category:**Computers

**Page:**480

**View:**1575

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Probabilistic Methods of Signal and System Analysis, 3/e stresses the engineering applications of probability theory, presenting the material at a level and in a manner ideally suited to engineering students at the junior or senior level. It is also useful as a review for graduate students and practicing engineers. Thoroughly revised and updated, this third edition incorporates increased use of the computer in both text examples and selected problems. It utilizes MATLAB as a computational tool and includes new sections relating to Bernoulli trials, correlation of data sets, smoothing of data, computer computation of correlation functions and spectral densities, and computer simulation of systems. All computer examples can be run using the Student Version of MATLAB. Almost all of the examples and many of the problems have been modified or changed entirely, and a number of new problems have been added. A separate appendix discusses and illustrates the application of computers to signal and system analysis.

## Probabilistic and Stochastic Methods in Analysis, with Applications

**Author**: J.S. Byrnes,Kathryn A. Hargreaves,Karl Berry

**Publisher:**Springer Science & Business Media

**ISBN:**9780792318040

**Category:**Mathematics

**Page:**699

**View:**3078

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Probability has been an important part of mathematics for more than three centuries. Moreover, its importance has grown in recent decades, since the computing power now widely available has allowed probabilistic and stochastic techniques to attack problems such as speech and image processing, geophysical exploration, radar, sonar, etc. -- all of which are covered here. The book contains three exceptionally clear expositions on wavelets, frames and their applications. A further extremely active current research area, well covered here, is the relation between probability and partial differential equations, including probabilistic representations of solutions to elliptic and parabolic PDEs. New approaches, such as the PDE method for large deviation problems, and stochastic optimal control and filtering theory, are beginning to yield their secrets. Another topic dealt with is the application of probabilistic techniques to mathematical analysis. Finally, there are clear explanations of normal numbers and dynamic systems, and the influence of probability on our daily lives.