This concise introduction to probability theory for undergraduate electrical engineers offers a logical organization which stresses the fundamentals of the subject. The topics have been chosen to flow logically from simple to advanced. Examples and applications illustrating the theory are featured throughout the book, including discussions of noise figures and noise and random signals in systems, and over 800 exercises are included. This edition has added coverage of poisson random processes, measurement of power spectra, and computer generation of random variables. It has added several new fully-worked examples and exercises at the end of chapters
Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability ...
Probability is an area of mathematics of tremendous contemporary importance across all aspects of hu...
This textbook explores probability and stochastic processes at a level that does not require any pri...
By incorporating a signal theory basis, A Signal Theoretic Introduction to Random Processes presents...
The theory of probability is a powerful tool that helps electrical and computer engineers to explain...
A fresh introduction to random processes utilizing signal theory By incorporating a signal theory ...
This updated and revised first-course textbook in applied probability provides a contemporary and li...
This book is based on the premise that engineers use probability as a modeling tool, and that probab...
Random signals and noise are present in many engineering systems and networks. Signal processing tec...
This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a ...
Now in its second edition, this textbook serves as an introduction to probability and statistics for...
This is the first in a series of short books on probability theory and random processes for biomedic...
This revised textbook motivates and illustrates the techniques of applied probability by application...
This book offers an introduction to concepts of probability theory, probability distributions releva...
This second edition of the popular textbook contains a comprehensive course in modern probability th...
Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability ...
Probability is an area of mathematics of tremendous contemporary importance across all aspects of hu...
This textbook explores probability and stochastic processes at a level that does not require any pri...
By incorporating a signal theory basis, A Signal Theoretic Introduction to Random Processes presents...
The theory of probability is a powerful tool that helps electrical and computer engineers to explain...
A fresh introduction to random processes utilizing signal theory By incorporating a signal theory ...
This updated and revised first-course textbook in applied probability provides a contemporary and li...
This book is based on the premise that engineers use probability as a modeling tool, and that probab...
Random signals and noise are present in many engineering systems and networks. Signal processing tec...
This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a ...
Now in its second edition, this textbook serves as an introduction to probability and statistics for...
This is the first in a series of short books on probability theory and random processes for biomedic...
This revised textbook motivates and illustrates the techniques of applied probability by application...
This book offers an introduction to concepts of probability theory, probability distributions releva...
This second edition of the popular textbook contains a comprehensive course in modern probability th...
Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability ...
Probability is an area of mathematics of tremendous contemporary importance across all aspects of hu...
This textbook explores probability and stochastic processes at a level that does not require any pri...