Probability and Random Processes with Applications to Signal Processing
β Scribed by Henry Stark, John W. Woods
- Publisher
- Prentice Hall
- Year
- 2001
- Tongue
- English
- Leaves
- 706
- Edition
- 3rd
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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. Includes expanded discussions of fundamental principles, especially basic probability. Includes new problems which deal with applications of basic theoryβin such areas as medical imaging, percolation theory in fractals, and generation of random numbers. Several new topics include Failure rates, the Chernoff bound, interval estimation and the Student t-distribution, and power spectral density estimation. Functions of Random Variables is included as a separate chapter. Mean square convergence and introduction of Martingales is covered in the latter half of the book. Provides electrical and computer engineers with a solid treatment of probability and random processes.
β¦ Subjects
Internet, Groupware, & Telecommunications;Networking & Cloud Computing;Computers & Technology;Electrical & Electronics;Circuits;Digital Design;Electric Machinery & Motors;Electronics;Fiber Optics;Networks;Superconductivity;Engineering;Engineering & Transportation;Industrial, Manufacturing & Operational Systems;Economics;Ergonomics;Health & Safety;Industrial Design;Industrial Technology;Management;Manufacturing;Production, Operation & Management;Project Management;Quality Control;Robotics & Autom
π 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 eng
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><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