Signal Design for Good Correlation: For Wireless Communication, Cryptography, and Radar
Language: English
Published by Cambridge University Press, 2005
- Hardcover
- New

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- Title
- Signal Design for Good Correlation: For Wireless Communication, Cryptography, and Radar
- Author
- Golomb, Solomon W.; Gong, Guang
- Publisher
- Cambridge University Press
- Publication year
- 2005
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0521821045
- ISBN 13
- 9780521821049
Wireless communications, advanced radar and sonar systems, and security systems for Internet transactions are contemporary examples of systems that employ digital signals to transmit information. This volume affords comprehensive, up-to-date treatment of the methodologies and application areas throughout the range of digital communication where individual signals, and sets of signals, with favorable correlation properties play a central role. Some application areas covered include Code Division Multiple Access (CDMA) signals such as those in use for cell-phone communication; digital systems for coded radar and sonar signals; and methods for secure authentication and stream cipher cryptology. The authors provide the necessary mathematical background to explain how the signals are generated and to show how the signals satisfy the appropriate correlation constraints.
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Book Description
In today's world, almost all major types of communication are digital. For most important applications, such as wireless communication, advanced radar and sonar systems, and security systems for internet transactions, the digital signal must be easily distinguishable from other signals which may be present in the same environment and from time-shifts (or echoes) of itself. Mathematically, this distinguishability is described in terms of correlation properties. This comprehensive, up-to-date treatment of the methodologies and applications of correlation properties belongs on the shelf of all engineers, mathematicians and computer scientists working on coding, communication, information, or network theory.
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