In recent years, pseudo random signal processing has proven to be a
critical enabler of modern communication, information, security and
measurement systems. The signal?s 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.