9780071622899-0071622896-Waveform Diversity: Theory & Applications: Theory & Application

Waveform Diversity: Theory & Applications: Theory & Application

ISBN-13: 9780071622899
ISBN-10: 0071622896
Edition: 1
Author: S Pillai, Ivan Selesnick, Ke Yong Li, Braham Himed
Publication date: 2011
Publisher: McGraw Hill
Format: Hardcover 320 pages
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Book details

ISBN-13: 9780071622899
ISBN-10: 0071622896
Edition: 1
Author: S Pillai, Ivan Selesnick, Ke Yong Li, Braham Himed
Publication date: 2011
Publisher: McGraw Hill
Format: Hardcover 320 pages

Summary

Waveform Diversity: Theory & Applications: Theory & Application (ISBN-13: 9780071622899 and ISBN-10: 0071622896), written by authors S Pillai, Ivan Selesnick, Ke Yong Li, Braham Himed, was published by McGraw Hill in 2011. With an overall rating of 4.4 stars, it's a notable title among other Internet, Groupware, & Telecommunications (Networking & Cloud Computing) books. You can easily purchase or rent Waveform Diversity: Theory & Applications: Theory & Application (Hardcover) from BooksRun, along with many other new and used Internet, Groupware, & Telecommunications books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $25.51.

Description

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Cutting-edge transmitter and receiver waveform design techniques

Optimum design can improve signal direction, interference, and noise suppression across various disciplines that utilize waveforms, including radar, sonar, and communications. Waveform Diversity explains the role of transmitter and receiver waveform design to boost overall performance. Written by experts in the field, this monograph covers joint transmitter receiver design, optimum design methods, constant envelope transmit signals, and sparsity-based receivers. Proven methods for mitigating noise and clutter and maximizing output signal power are included in this practical guide.

Waveform Diversity covers:

  • Waveform design and matched filtering
  • New methods for optimum transmitter and receiver design
  • Transmitter threshold energy and energy-bandwidth tradeoff
  • Increasing transmit power efficiency with constant envelope transmit signals
  • Optimum waveform design to reduce noise and clutter
  • Discrete-time waveform design
  • Sparsity-based receiver design methods
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