Orhan Gazi

Introduction to Probability and Random Variables

• Gebundenes Buch

Produktbeschreibung

This textbook provides a straightforward, clear explanation of probability and random variables for communications engineering students. The author focuses on the most essential subjects of probability and random variables, eliminating unnecessary details of this difficult subject. After an introduction to the topic, the author covers the essentials of experiments, sample spaces, events, and probability laws, while investigating how they relate to communications engineering work. He goes on to discuss total probability theorems, after which he covers discrete random variables and continuous random variables. The author uses his years of teaching probability and random variable concepts to engineering students to form the text in a very understandable manner. The book features exercises, examples, case studies, and other key classroom materials

Produktdetails

• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-31815-3
• 2023
• Seitenzahl: 248
• Erscheinungstermin: 28. Mai 2023
• Englisch
• Abmessung: 241mm x 160mm x 20mm
• Gewicht: 541g
• ISBN-13: 9783031318153
• ISBN-10: 3031318153
• Artikelnr.: 67685733

Autorenporträt

Orhan Gazi  is employed as a  Professor  of Electrical and Electronics Engineering in Ankara Medipol University. He completed his BS, MS, and PhD degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 1996, 2001 and 2007, respectively. His research areas involve signal processing, information theory, and forward error correction. More recently, he has begun studying polar channel codes and preparing publications in this area. He has published several textbooks on signal processing, information theory, channel coding, VHDL circuit design, and FPGA programming. 

Inhaltsangabe

Introduction.- Experiments, Sample Spaces, Events and Probability Laws.- Total Probability Theorem, Independence, Combinatorial.- Discrete Random Variables.- Functions of Random Variables.- Continuous Random Variables.- More than one Random Variables.- Conclusion.