Fundamentals of Probability and Stochastic Processes with Applications to Communications
Springer International Publishing (Verlag)
978-3-319-68074-3 (ISBN)
Dr. Kun I. Park has extensive experience in telecommunications. Through his career, he worked at Bell Laboratories, Lucent and MITRE as Member of Technical Staff and Technical Supervisor. He also worked as Adjunct Professor, with the rank of Full Professor, at Stevens Institute of Technology, Hoboken, New Jersey for over 20 years, where he taught, among other courses, probability and stochastic processes. He received his Ph.D. in Electrical Engineering from the University of Pennsylvania, Philadelphia, Pennsylvania.
Chap1: Introduction.- Chap2: Basic Mathematical Preliminaries.- Chap3: Probability Theory.- Chap4: Random Variables.- Chap5: Characterization of Random Variables.- Chap6: Stochastic Process.- Chap7: Gaussian Distributions.- Chap8: Applications.
"The topic 'probability and stochastic processes' is included into any curriculum for university students in engineering. ... This book only, or in a combination with a couple of other books, can be successfully used for the course 'probability and stochastic processes' by both students in engineering and their teachers." (Jordan M. Stoyanov, zbMATH 1409.60001, 2019)
“The topic ‘probability and stochastic processes’ is included into any curriculum for university students in engineering. … This book only, or in a combination with a couple of other books, can be successfully used for the course ‘probability and stochastic processes’ by both students in engineering and their teachers.” (Jordan M. Stoyanov, zbMATH 1409.60001, 2019)
Erscheinungsdatum | 08.11.2017 |
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Zusatzinfo | X, 275 p. 69 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 596 g |
Themenwelt | Technik ► Elektrotechnik / Energietechnik |
Technik ► Nachrichtentechnik | |
Schlagworte | Axiomatic Probability • channel coding • Communications Engineering, Networks • Communications engineering / telecommunications • computational science and engineering • Cumulative distribution functions (CDFs) • Engineering • Engineering: general • Gaussian process • Mathematical and Computational Engineering • Maths for engineers • Maths for scientists • probability & statistics • Probability density function (pdf) • Probability & statistics • Probability theory and stochastic processes • queuing theory • random variables • set theory • Statistics for Engineering, Physics, Computer Scie • Stochastic Processes • stochastics |
ISBN-10 | 3-319-68074-9 / 3319680749 |
ISBN-13 | 978-3-319-68074-3 / 9783319680743 |
Zustand | Neuware |
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