Introduction to Sample Space and Probability.- Random Variable.- Multidimensional Random Variables.- Normal Random Variable.- Other Important Random Variables.- Random Processes.- Spectral Characteristics of Random Processes.
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.
Provides a highly accessible introduction to the concepts and key terms related to random variables and processes
Assumes minimal mathematical background and gives simple explanations of key terms such as density, distribution, mean value, variance, correlation, autocorrelation, ergodicity, etc.
Includes many examples and applications implemented in MATLAB, as well as a variety of exercises at the end of each chapter