Logo

An Exploration of Random Processes for Engineers

Small book cover: An Exploration of Random Processes for Engineers

An Exploration of Random Processes for Engineers
by

Publisher: University of Illinois at Urbana-Champaign
Number of pages: 381

Description:
These notes were written for the first semester graduate course on random processes, offered by the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. Students in the class are assumed to have had a previous course in probability, some familiarity with real analysis and elementary linear algebra, and some familiarity with transform methods and complex analysis.

Home page url

Download or read it online for free here:
Download link
(3MB, PDF)

Similar books

Book cover: Engineering Statistics and Quality ControlEngineering Statistics and Quality Control
by - McGraw-Hill
The present book is the outgrowth of a course in statistics for engineers which has been given at Purdue University. The book is written primarily as a text book for junior, senior, and graduate students of engineering and physical science.
(14402 views)
Book cover: Optimization Methods for Engineering DesignOptimization Methods for Engineering Design
by - Brigham Young University
In this text we discuss a computer-based approach to design optimization, to search for the best design according to criteria that we specify. Further, we employ sophisticated algorithms that enable the computer to efficiently search for the optimum.
(9806 views)
Book cover: Handbook of Mathematical FunctionsHandbook of Mathematical Functions
by - GPO
Students and professionals in the fields of mathematics, physics, engineering, and economics will find this reference work invaluable. A classic resource for special functions, standard trig, and exponential logarithmic definitions and extensions.
(32825 views)
Book cover: Mathematical Methods of Engineering AnalysisMathematical Methods of Engineering Analysis
by
This text covers general notions regarding sets, functions, sequences, and series; metric spaces, convergence, continuity, approximations; functions on metric spaces; differential and integral equations; convex analysis; measure and integration.
(18164 views)