Schaum's Outline of Probability, Random Variables, and Random Processes

The ideal review for the thousands of electrical engineering college students who enroll in probability, variables, and processes courses

"Schaum's Outline of Probability, Random Variables, and Random Processes" mirrors the courses in scope and sequence to help enrolled students understand basic concepts and offer extra practice on topics such as bivariate random variables, joint distribution functions, moment generating functions, Poisson processes, Wiener processes, power spectral densities, and white noise. Coverage will also include response of linear systems to random outputs, Fourier series and Karhunen-Loeve expansions, Fourier transform of random processes, parameter estimation, Bayes' estimation, and mean square estimation. Features Outline format supplies a concise guide to the standard college courses in probability, variables, and processes 405 solved problems New chapter on statistical communication theory Additional material on distributions, the Markov Process, and martingales Supports all the major textbooks for probability, variables, and processes courses

Revizuirea ideala pentru mii de studenti de inginerie electrica care se inscriu la cursuri de probabilitate, variabile si procese „Schaum's Outline of Probability, Random Variables, and Random Processes” reflecta cursurile in sfera si secventa pentru a ajuta studentii inscrisi sa inteleaga conceptele de baza si sa ofere practica suplimentara pe subiecte precum variabile aleatorii bivariate, functii de distributie comuna, functii de generare a momentelor, procese Poisson, procese Wiener, densitati spectrale de putere si zgomot alb.