While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice.
Probability and Random Processes for Electrical Engineering
White noise with power spectral density Sx(f) = No/2 is applied to a lowpass RC filter with impulse response h(t) = ~gc^~t ho ~)(0- Find (a) the cross power spectral density, Sxy(f)\ (b) the cross-correlation, Rxy{^)\ (c) E[X(lFt2]; (d) ...
Additional material has been added to the second edition to provide a more substantial introduction to random processes. The book's first five chapters form the basis of a traditional, introduction to probability and random variables.
This text introduces engineering students to probability theory and stochastic processes.
The book progresses at a leisurely pace, never assuming more knowledge than contained in the material already covered.
With a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book. The text consists of twelve chapters divided into four parts.
This book focuses on teaching probabilistic and statistical methods to upper-division electrical and computer engineering (EECE) students. It is the result of over 20 years of teaching this course in...
Probability and Random Processes for Electrical Engineering: Student Solutions Manual
The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, ...
[298] G. Shafer. The Art of Causal Conjecture (MIT Press, 1996). (Cited on p. 477.) [299] G. Shafer and V. Vovk. Probability and Finance: It's Only a Game! (John Wiley & Sons, 2001). (Cited on pp. xxviii, 14, 268, 304, 308.) ...