| Principles of Statistical Radiophysics 1: Elements of Random Process Theory Softcover Repri Edition Contributor(s): Rytov, Sergei M. (Author), Repyev, Alexander P. (Translator), Kravtsov, Yurii A. (Author) |
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ISBN: 3642692036 ISBN-13: 9783642692031 Publisher: Springer OUR PRICE: $170.99 Product Type: Paperback - Other Formats Published: December 2011 |
| Additional Information |
| BISAC Categories: - Science | Physics - Optics & Light - Science | Physics - Electricity - Science | Physics - Mathematical & Computational |
| Dewey: 535.2 |
| Physical Information: 0.56" H x 6.69" W x 9.61" (0.95 lbs) 253 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Principles of Statistical Radiophysics is concerned with the theory of random functions (processes and fields) treated in close association with a number of ap- plications in physics. Primarily, the book deals with radiophysics in its broadest sense, i.e., viewed as a general theory of oscillations and waves of any physical l nature . This translation is based on the second (two-volume) Russian edition. It appears in four volumes: 1. Elements of Random Process Theory 2. Correlation Theory of Random Processes 3. Elements of Random Fields 4. Wave Propagation Through Random Media. The four volumes are, naturally, to a large extent conceptually interconnected (being linked, for instance, by cross-references); yet for the advanced reader each of them might be of interest on its own. This motivated the division of the Principles into four separate volumes. The text is designed for graduate and postgraduate students majoring in radiophysics, radio engineering, or other branches of physics and technology dealing with oscillations and waves (e.g., acoustics and optics). As a rule, early in their career these students face problems involving the use of random func- tions. The book provides a sound basis from which to understand and solve problems at this level. In addition, it paves the way for a more profound study of the mathematical theory, should it be necessary2. The reader is assumed to be familiar with probability theory. |
