Fundamentals of Probability and Stochastic Processes with Applications to Communications
Park, Kun Il.
Fundamentals of Probability and Stochastic Processes with Applications to Communications [electronic resource] / by Kun Il Park. - 1st ed. 2018. - X, 275 p. 69 illus. online resource.
Acceso multiusuario
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.
This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering. The author explains the basic concepts of these topics as plainly as possible so that people with no in-depth knowledge of these mathematical topics can better appreciate their applications in real problems. Applications examples are drawn from various areas of communications. If a reader is interested in understanding probability and stochastic processes that are specifically important for communications networks and systems, this book serves his/her need. Narrows down probability, random variables, stochastic processes to an essential set of topics that communications systems engineers must understand; Presents difficult proofs of theories so that the reader can gain working level understanding of the subject as applied to communications networks and systems; Provides examples that the author encountered through his long experience in both teaching and industry; Provides a comprehensive review of the elements of complex variables, linear algebra and set theory -- pre-requisites for understanding the main topics of the book.
9783319680750
Electrical engineering.
Applied mathematics.
Engineering mathematics.
Computer mathematics.
Probabilities.
Statistics .
Communications Engineering, Networks.
Mathematical and Computational Engineering.
Computational Science and Engineering.
Probability Theory and Stochastic Processes.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
TK1-9971
621.382
Fundamentals of Probability and Stochastic Processes with Applications to Communications [electronic resource] / by Kun Il Park. - 1st ed. 2018. - X, 275 p. 69 illus. online resource.
Acceso multiusuario
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.
This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering. The author explains the basic concepts of these topics as plainly as possible so that people with no in-depth knowledge of these mathematical topics can better appreciate their applications in real problems. Applications examples are drawn from various areas of communications. If a reader is interested in understanding probability and stochastic processes that are specifically important for communications networks and systems, this book serves his/her need. Narrows down probability, random variables, stochastic processes to an essential set of topics that communications systems engineers must understand; Presents difficult proofs of theories so that the reader can gain working level understanding of the subject as applied to communications networks and systems; Provides examples that the author encountered through his long experience in both teaching and industry; Provides a comprehensive review of the elements of complex variables, linear algebra and set theory -- pre-requisites for understanding the main topics of the book.
9783319680750
Electrical engineering.
Applied mathematics.
Engineering mathematics.
Computer mathematics.
Probabilities.
Statistics .
Communications Engineering, Networks.
Mathematical and Computational Engineering.
Computational Science and Engineering.
Probability Theory and Stochastic Processes.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
TK1-9971
621.382
