CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...
An essential companion for advanced undergraduate and graduate level courses in probability, this book describes the tools and results that are used extensively in the field and has worked examples, ...
Models for random message signals and noise encountered in communication systems are developed in this chapter. Random signals cannot be explicitly described prior to their occurrence, and noises ...
Will a certain tritium atom decay by a certain time? According to our current science, this question concerning physical phenomena should be answered by sampling from a probability distribution, a ...
Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, “Probability is the most important concept in modern science, especially as nobody has the ...
CATALOG DESCRIPTION: Advanced topics in random processes: point processes, Wiener processes; Markov processes, spectral representation, series expansion of random processes, linear filtering, Wiener ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results