05547nam 2200709 a 450 991077893750332120200520144314.01-283-41027-397866134102760-12-387013-5(CKB)2550000000084147(EBL)858694(OCoLC)775872059(SSID)ssj0000599792(PQKBManifestationID)11382289(PQKBTitleCode)TC0000599792(PQKBWorkID)10598880(PQKB)10315781(MiAaPQ)EBC858694(CaSebORM)9780123869814(Au-PeEL)EBL858694(CaPaEBR)ebr10528203(CaONFJC)MIL341027(PPN)170604071(EXLCZ)99255000000008414720120124d2012 uy 0engur|n|---|||||txtccrProbability and random processes[electronic resource] with applications to signal processing and communications /Scott L. Miller, Donald ChildersEd. 2.Waltham, Mass. Elsevier20121 online resource (625 p.)Description based upon print version of record0-12-810245-4 0-12-386981-1 Includes bibliographical references and index.Front Cover; Probability and Random Processes: With Applications to Signal Processingand Communications; Copyright; Contents; Preface; Chapter 1: Introduction; 1.1 A Speech Recognition System; 1.2 A Radar System; 1.3 A Communication Network; Chapter 2: Introduction to Probability Theory; 2.1 Experiments, Sample Spaces, and Events; 2.2 Axioms of Probability; 2.3 Assigning Probabilities; 2.4 Joint and Conditional Probabilities; 2.5 Basic Combinatorics; 2.6 Bayes's Theorem; 2.7 Independence; 2.8 Discrete Random Variables; 2.9 Engineering Application-An Optical Communication System; ExercisesSection 2.1: Experiments, Sample Spaces, and EventsSection 2.2: Axioms of Probability; Section 2.3: Assigning Probabilities; Section 2.4: Joint and Conditional Probabilities; Section 2.5: Basic Combinatorics; Section 2.6: Bayes's Theorem; Section 2.7: Independence; Section 2.8: Discrete Random Variables; Miscellaneous Problems; MATLAB Exercises; Chapter 3: Random Variables, Distributions,and Density Functions; 3.1 The Cumulative Distribution Function; 3.2 The Probability Density Function; 3.3 The Gaussian Random Variable; 3.4 Other Important Random Variables; 3.4.1 Uniform Random Variable3.4.2 Exponential Random Variable3.4.3 Laplace Random Variable; 3.4.4 Gamma Random Variable; 3.4.5 Erlang Random Variable; 3.4.6 Chi-Squared Random Variable; 3.4.7 Rayleigh Random Variable; 3.4.8 Rician Random Variable; 3.4.9 Cauchy Random Variable; 3.5 Conditional Distribution and Density Functions; 3.6 Engineering Application: Reliability and Failure Rates; Exercises; Section 3.1: The Cumulative Distribution Function; Section 3.2: The Probability Density Function; Section 3.3: The Gaussian Random Variable; Section 3.4: Other Important Random VariablesSection 3.5: Conditional Distribution and Density FunctionsSection 3.6: Reliability and Failure Rates; Miscellaneous Exercises; MATLAB Exercises; Chapter 4: Operations on a Single Random Variable; 4.1 Expected Value of a Random Variable; 4.2 Expected Values of Functions of Random Variables; 4.3 Moments; 4.4 Central Moments; 4.5 Conditional Expected Values; 4.6 Transformations of Random Variables; 4.6.1 Monotonically Increasing Functions; 4.6.2 Monotonically Decreasing Functions; 4.6.3 Nonmonotonic Functions; 4.7. Characteristic Functions; 4.8. Probability-Generating Functions4.9 Moment-Generating Functions4.10 Evaluating Tail Probabilities; 4.11 Engineering Application-Scalar Quantization; 4.12 Engineering Application-Entropy and Source Coding; Exercises; Section 4.1: Expected Values of a Random Variable; Section 4.2: Expected Values of Functions of a Random Variable; Section 4.3: Moments; Section 4.4: Central Moments; Section 4.5: Conditional Expected Values; Section 4.6: Transformations of Random Variables; Section 4.7: Characteristic Functions; Section 4.8: Probability-Generating Functions; Section 4.9: Moment-Generating FunctionsSection 4.10: Evaluating Tail ProbabilitiesMiller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communicatSignal processingMathematicsProbabilitiesStochastic processesSignal processingMathematics.Probabilities.Stochastic processes.621.382/20151Miller Scott L223807Childers Donald G1549987MiAaPQMiAaPQMiAaPQBOOK9910778937503321Probability and random processes3808439UNINA04677nam 2200613 450 991082450350332120200520144314.01-78398-443-0(CKB)2670000000573751(EBL)1831904(SSID)ssj0001410559(PQKBManifestationID)11772368(PQKBTitleCode)TC0001410559(PQKBWorkID)11374260(PQKB)11391408(MiAaPQ)EBC1831904(Au-PeEL)EBL1831904(CaPaEBR)ebr10967764(CaONFJC)MIL655544(OCoLC)894628631(PPN)228012031(EXLCZ)99267000000057375120141111d2014 uy| 0engur|n|---|||||txtccrLearning AngularJS animations enhance user experience with awesome animations in AngularJS using CSS and JavaScript /Richard KellerBirmingham :Packt Publishing,2014.1 online resource (182 p.)Community experience distilledIncludes index.1-78398-442-2 1-322-24264-X Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started; The definition of animation and the web context; The need for AngularJS animation; Choosing when to use JavaScript for animations; AngularJS - combining JavaScript and CSS3; Do it yourself exercises; Summary; Chapter 2: Understanding CSS3 Transitions and Animations; CSS3 transitions; The transition-timing-function property; The transition-delay property; Animatable properties; CSS3 keyframe animations; Defining an animation using keyframesSeparating timing functions for each keyframe intervalOther CSS keyframe animations' properties; CSS3 transforms; The scale function; The translate function; The skew function; Exercise; Summary; Chapter 3: Creating Our First Animation in AngularJS; The ngAnimate module setup and usage; AngularJS directives with native support for animations; Fade animations using AngularJS; The AngularJS animations convention; AngularJS animation with CSS transitions; The ng-enter class; The ng-leave class; AngularJS animation with CSS keyframe animations; The CSS naming conventionThe ngClass directive animation sampleThe ngHide and ngShow animation sample; The ngModel directive and form animations; The ngMessage and ngMessages directive animations; The ngView directive animation; The ngSwitch directive animation; The ngInclude directive sample; Do it yourself exercises; Summary; Chapter 4: JavaScript Animations in AngularJS; Creating AngularJS animation without CSS3; The ngHide JavaScript animation; The ngIf JavaScript animation; The ngRepeat JavaScript animation; JavaScript animations as a fallback for CSS animations; Do it yourself exercises; SummaryChapter 5: Custom Directives and the animate ServiceTriggering animations on custom directives; Animating the enter and leave events; Using the animate.move method; Creating a custom directive animated with JavaScript; Exercises; Summary; Chapter 6: Animations for Mobile Devices; Enhance UX on mobile devices with animations; Transition between views; Mobile AngularJS frameworks; Summary; Chapter 7: Staggering Animations; Creating staggering animations; Staggering animations with a CSS transition; Staggering animations with a CSS keyframes animationCreating staggering animations for other native directivesCreate staggering animations for custom directives; Summary; Chapter 8: Animations' Performance Optimization; The display and the frame rate; Finding performance bottlenecks using Chrome DevTools; Checking FPS using Show fps meter; Measuring browser layers and Jank on Chrome; CSS styles in animations you should avoid; Summary; IndexIf you are a developer who is new to AngularJS or is experienced with the AngularJS framework, this book is intended for you. If you want to provide a better user experience on your web app, this book is also for you.Community experience distilled.Application softwareDevelopmentJavaScript (Computer program language)Application softwareDevelopment.JavaScript (Computer program language)Keller Richard356744MiAaPQMiAaPQMiAaPQBOOK9910824503503321Learning AngularJS animations3921877UNINA