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Random Processes for Engineers: A Primer

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This book offers an intuitive approach to random processes and educates the reader on how to interpret and predict their behavior. Premised on the idea that new techniques are best introduced by specific, low-dimensional examples, the mathematical exposition is easier to comprehend and more enjoyable, and it motivates the subsequent generalizations. It distinguishes between the science of extracting statistical information from raw data--e.g., a time series about which nothing is known 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 in specific physical contexts. The formidable Kalman filter is introduced in a simple scalar context, where its basic strategy is transparent, and gradually extended to the full-blown iterative matrix form.
Request Code : ZLIBIO2257055
Categories:
Year:
2017
Publisher:
CRC Press
Language:
English
Pages:
207
ISBN 10:
149879906X
ISBN 13:
9781498799065
ISBN:
9781498799041,1498799043,9781315365480,1315365480,9781498799065,149879906X

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