Random Processes for Engineers 1st Edition
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Discover Monetary establishment for Chance Processes for Engineers 1st Version
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ISBN-101498799035
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ISBN-13978-1498799034
This info provides an intuitive strategy to chance processes and educates the reader on how to interpret and predict their behavior. Based on the notion new methods are best introduced by specific, low-dimensional examples, the mathematical exposition is easier to grasp and more enjoyable, and it motivates the subsequent generalizations. It differentiates between the science of extracting statistical information from raw data–e.g., a time collection about which nothing is assumed apriori–and that of analyzing specific statistical models, such as Bernoulli trials, Poisson queues, ARMA, and Markov processes. The former motivates the concepts of statistical spectral analysis (such as the Wiener-Khintchine theory), and the latter applies and interprets them particularly physical contexts. The complex Kalman filter is introduced in a simple scalar context, where its fundamental approach is clear, and gradually extended to the full-blown iterative matrix form.
Regarding the Writer
Dr. Arthur David Snider has over fifty years of experience in modeling physical systems in the areas of heat transfer, electromagnetics, microwave circuits, and orbital mechanics, along with the mathematical areas of numerical analysis, signal processing, differential equations, and optimization. He holds degrees in both arithmetic (BS, MIT, PhD, NYU) and physics (MA, Boston U), and he is a registered professional engineer. He served for forty-five years on the universities of mathematics, physics, and electrical engineering at the Faculty of South Florida after working for five years as a systems analyst at MIT’s Draper Instrumentation Lab. He consults in various industries in Florida and has published five different textbooks in applied mathematics.
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