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Probability and Random Processes for Electrical and Computer Engineers
Buch von John A. Gubner
Sprache: Englisch

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Beschreibung
The theory of probability has important applications for computer and electrical engineers such that a course in probability and random processes is a prerequisite for further study in communications or signal processing. Gubner presents a primary text that progresses from advanced undergraduate level, through to more complex topics suitable for graduates and as reference material for researchers. With chapter outlines, over 300 worked examples, some 800 problems and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students.
The theory of probability has important applications for computer and electrical engineers such that a course in probability and random processes is a prerequisite for further study in communications or signal processing. Gubner presents a primary text that progresses from advanced undergraduate level, through to more complex topics suitable for graduates and as reference material for researchers. With chapter outlines, over 300 worked examples, some 800 problems and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students.
Über den Autor
John A. Gubner received his PhD in 1988 from the University of Maryland, College Park, after which he joined the University of Wisconsin, Madison, where he is currently a faculty member in the Department of Electrical and Computer Engineering. His research interests include ultra-wideband communications, point processes and shot noise, subspace methods in statistical processing, and information theory.
Inhaltsverzeichnis
Preface; 1. Introduction to probability; 2. Introduction to discrete random variables; 3. More about discrete random variables; 4. Continuous random variables; 5. Cumulative distribution functions and their applications; 6. Statistics; 7. Bivariate random variables; 8. Introduction to random vectors; 9. Gaussian random vectors; 10. Introduction to random processes; 11. Advanced concepts in random processes; 12. Introduction to Markov chains; 13. Mean convergence and applications; 14. Other modes of convergence; 15. Self similarity and long-range dependence; Bibliography; Index.
Details
Erscheinungsjahr: 2015
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9780521864701
ISBN-10: 0521864704
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Gubner, John A.
Hersteller: Cambridge University Press
Maße: 250 x 175 x 39 mm
Von/Mit: John A. Gubner
Erscheinungsdatum: 01.09.2015
Gewicht: 1,277 kg
Artikel-ID: 102216741
Über den Autor
John A. Gubner received his PhD in 1988 from the University of Maryland, College Park, after which he joined the University of Wisconsin, Madison, where he is currently a faculty member in the Department of Electrical and Computer Engineering. His research interests include ultra-wideband communications, point processes and shot noise, subspace methods in statistical processing, and information theory.
Inhaltsverzeichnis
Preface; 1. Introduction to probability; 2. Introduction to discrete random variables; 3. More about discrete random variables; 4. Continuous random variables; 5. Cumulative distribution functions and their applications; 6. Statistics; 7. Bivariate random variables; 8. Introduction to random vectors; 9. Gaussian random vectors; 10. Introduction to random processes; 11. Advanced concepts in random processes; 12. Introduction to Markov chains; 13. Mean convergence and applications; 14. Other modes of convergence; 15. Self similarity and long-range dependence; Bibliography; Index.
Details
Erscheinungsjahr: 2015
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9780521864701
ISBN-10: 0521864704
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Gubner, John A.
Hersteller: Cambridge University Press
Maße: 250 x 175 x 39 mm
Von/Mit: John A. Gubner
Erscheinungsdatum: 01.09.2015
Gewicht: 1,277 kg
Artikel-ID: 102216741
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