Random Processes for Engineers - A Primer (Paperback)

Arthur David Snider

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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 a priori--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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	September 2020
First published:	2017
Authors:	Arthur David Snider
Dimensions:	234 x 156 x 25mm (L x W x T)
Format:	Paperback
Pages:	195
ISBN-13:	978-0-367-65635-5
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Professional & Technical > Transport technology > Automotive technology > General Promotions
LSN:	0-367-65635-3
Barcode:	9780367656355