<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
Pseudo Random Signal Processing: Theory and Application
β Scribed by Hans-Jurgen Zepernick, Adolf Finger
- Publisher
- Wiley
- Year
- 2005
- Tongue
- English
- Leaves
- 438
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
In recent years, pseudo random signal processing has proven to be a critical enabler of modern communication, information, security and measurement systems. The signalβs pseudo random, noise-like properties make it vitally important as a tool for protecting against interference, alleviating multipath propagation and allowing the potential of sharing bandwidth with other users.
Taking a practical approach to the topic, this text provides a comprehensive and systematic guide to understanding and using pseudo random signals. Covering theoretical principles, design methodologies and applications, Pseudo Random Signal Processing: Theory and Application:
- sets out the mathematical foundations needed to implement powerful pseudo random signal processing techniques;
- presents information about binary and nonbinary pseudo random sequence generation and design objectives;
- examines the creation of system architectures, including those with microprocessors, digital signal processors, memory circuits and software suits;
- gives a detailed discussion of sophisticated applications such as spread spectrum communications, ranging and satellite navigation systems, scrambling, system verification, and sensor and optical fibre systems.
Pseudo Random Signal Processing: Theory and Applicationis an essential introduction to the subject for practising Electronics Engineers and researchers in the fields of mobile communications, satellite navigation, signal analysis, circuit testing, cryptology, watermarking, and measurement. It is also a useful reference for graduate students taking courses in Electronics, Communications and Computer Engineering
β¦ Subjects
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π SIMILAR VOLUMES
<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><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
Together with the fundamentals of probability, random processes, and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities,
Together with the fundamentals of probability, random processes, and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities,