Intuitive Probability and Random Processes Using MATLAB®

• Main Author: Kay, Steven M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2006.
• Subjects: Engineering.; Fourier analysis.; Computer software.; Probabilities.; Applied mathematics.; Engineering mathematics.; Electrical engineering.; Communications Engineering, Networks.; Mathematical Software.; Appl.Mathematics/Computational Methods of Engineering.; Signal, Image and Speech Processing.; Probability Theory and Stochastic Processes.; Fourier Analysis.

Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate...

Table of Contents:

• Computer Simulation
• Basic Probability
• Conditional Probability
• Discrete Random Variables
• Expected Values for Discrete Random Variables
• Multiple Discrete Random Variables
• Conditional Probability Mass Functions
• Discrete N-Dimensional Random Variables
• Continuous Random Variables
• Expected Values for Continuous Random Variables
• Multiple Continuous Random Variables
• Conditional Probability Density Functions
• Continuous N-Dimensional Random Variables
• Probability and Moment Approximations Using Limit Theorems
• Basic Random Processes
• Wide Sense Stationary Random Processes
• Linear Systems and Wide Sense Stationary Random Processes
• Multiple Wide Sense Stationary Random Processes
• Gaussian Random Processes
• Poisson Random Processes
• Markov Chains.