Probability and Random Processes: With Applications to Signal Processing and Communications
โ Scribed by Donald Childers Scott Miller
- Publisher
- Academic Press
- Year
- 2004
- Tongue
- English
- Leaves
- 529
- Edition
- 1st edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. Exceptional exposition and numerous worked out problems make the book extremely readable and accessible The authors connect the applications discussed in class to the textbook The new edition contains more real world signal processing and communications applications Includes an entire chapter devoted to simulation techniques
๐ SIMILAR VOLUMES
Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing en
<P><B></B> Provides users with an accessible, yet mathematically solid, treatment of probability and random processes. Many computer examples integrated throughout, including random process examples in MATLAB. <B></B> Includes expanded discussions of fundamental principles, especially basic probabil
<p><i>Probability, Random Variables, and Random Processes</i> is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some famil
<p><i>Probability, Random Variables, and Random Processes</i> is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some famil