Probability and random processes for electrical and computer engineers. ([2018?])

• Record Type: Book
• Further Information: Note: Charles W. Therrien, Murali Tummala.
• Authors: Therrien, Charles W; Tummala, Murali
• Contents: Part I: Probability and Random Variables Introduction The Analysis of Random Experiments Probability in Electrical and Computer Engineering Outline of the Book ; The Probability Model The Algebra of Events Probability of Events Some Applications Conditional Probability and Bayes’ Rule More Applications ; Random Variables and Transformations Discrete Random Variables Some Common Discrete Probability Distributions Continuous Random Variable Some Common Continuous Probability Density Functions CDF and PDF for Discrete and Mixed Random Variables Transformation of Random Variables Distributions Conditioned on an Event Applications ; Expectation, Moments, and Generating Functions Expectation of a Random Variable Moments of a Distribution Generating Functions Application: Entropy and Source Coding ; Two and More Random Variables Two Discrete Random Variables Two Continuous Random Variables Expectation and Correlation Gaussian Random Variables Multiple Random Variables Sums of Some Common Random Variables Summary ; Inequalities, Limit Theorems, and Parameter Estimation Inequalities Convergence and Limit Theorems Estimation of Parameters Maximum Likelihood Estimation Point Estimates and Confidence Intervals Application to Signal Estimation Summary ; Random Vectors Random Vectors Analysis of Random Vectors Transformations Cross Correlation and Covariance Applications to Signal Processing Summary Part II: Introduction to Random Processes Random Processes Introduction Characterizing a Random Process Some Discrete Random Processes Some Continuous Random Processes Summary ; Random Signals in the Time Domain First and Second Moments of a Random Process Cross Correlation Complex Random Processes Discrete Random Processes Transformation by Linear Systems Some Applications Summary ; Random Signals in the Frequency Domain Power Spectral Density Function White Noise Transformation by Linear Systems Discrete Random Signals Applications Summary ; Markov, Poisson, and Queueing Processes The Poisson Model Discrete-Time Markov Chains Continuous-Time Markov Chains Basic Queueing Theory Summary ; Appendices A Basic Combinatorics B The Unit Impulse C The Error Function D Noise Sources
• Edition: Second edition
• Publisher Details: Boca Raton, FL : CRC Press
• Publication Date: 2018
• Copyright Date: 2012
• Extent: 1 online resource (xvii, 413 pages), illustrations
• Subjects: 621.301/5192; Electrical engineering -- Mathematics; Computer engineering -- Mathematics; Probabilities; Stochastic processes; Computer engineering -- Mathematics; Electrical engineering -- Mathematics; Probabilities; Stochastic processes; Electronic books; Electronic book
• Languages: English
• ISBNs: 9781439897492; 1439897492
• Notes: Note: Includes bibliographical references and index.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.