Probability Statistical Optics And Data Testing

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Probability, Statistical Optics, and Data Testing

Probability, Statistical Optics, and Data Testing
Author :
Publisher : Springer Science & Business Media
Total Pages : 421
Release :
ISBN-10 : 9783642967320
ISBN-13 : 3642967329
Rating : 4/5 (329 Downloads)

Book Synopsis Probability, Statistical Optics, and Data Testing by : B.R. Frieden

Download or read book Probability, Statistical Optics, and Data Testing written by B.R. Frieden and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: A basic skill in probability is practically demanded nowadays in many bran ches of optics, especially in image science. On the other hand, there is no text presently available that develops probability, and its companion fields stochastic processes and statistics, from the optical perspective. [Short of a book, a chapter was recently written for this purpose; see B. R. Frieden (ed. ): The Computer in Optical Research, Topics in Applied Physics, Vol. 41 (Springer, Berlin, Heidelberg, New York 1980) Chap. 3] Most standard texts either use illustrative examples and problems from electrical engineering or from the life sciences. The present book is meant to remedy this situation, by teaching probability with the specific needs of the optical researcher in mind. Virtually all the illustrative examples and applications of the theory are from image science and other fields of optics. One might say that photons have replaced electrons in nearly all considera tions here. We hope, in this manner, to make the learning of probability a pleasant and absorbing experience for optical workers. Some of the remaining applications are from information theory, a con cept which complements image science in particular. As will be seen, there are numerous tie-ins between the two concepts. Students will be adequately prepared for the material in this book if they have had a course in calculus, and know the basics of matrix manipulation.


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