Description

Book Synopsis

A complete guide to the full spectrum of fundamental radar signal processing systemsâfully updated for the latest advances

This thoroughly revised resource offers comprehensive coverage of foundational digital signal processing methods for both pulsed and FMCW radar. Developed from the authorâs extensive academic and professional experience, Fundamentals of Radar Signal Processing, Third Edition covers all of the digital signal processing techniques that form the backbone of modern radar systems, revealing the common threads that unify them. The basic tools of linear systems, filtering, sampling, and Fourier analysis are used throughout to provide a unified tutorial approach. You will get end-of-chapter problems that reinforce and apply salient points as well as an online suite of tutorial MATLAB(R) demos and supplemental technical notes. Classroom instructors additionally receive a solutions manual and sample MATLAB tutorial demos.

Coverage includes:

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Fundamentals of Radar Signal Processing Third

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    Order before 4pm today for delivery by Tue 28 Jul 2026.

    A Hardback by Mark Richards

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      Publisher: McGraw-Hill Education
      Publication Date: Publication Date: 29/04/2022
      ISBN13: 9781260468717, 978-1260468717
      ISBN10: 1260468712
      Also in:
      Technology, Engineering & Agriculture Electronics and communications engineering Signal processing

      Description

      Book Synopsis

      A complete guide to the full spectrum of fundamental radar signal processing systemsâfully updated for the latest advances

      This thoroughly revised resource offers comprehensive coverage of foundational digital signal processing methods for both pulsed and FMCW radar. Developed from the authorâs extensive academic and professional experience, Fundamentals of Radar Signal Processing, Third Edition covers all of the digital signal processing techniques that form the backbone of modern radar systems, revealing the common threads that unify them. The basic tools of linear systems, filtering, sampling, and Fourier analysis are used throughout to provide a unified tutorial approach. You will get end-of-chapter problems that reinforce and apply salient points as well as an online suite of tutorial MATLAB(R) demos and supplemental technical notes. Classroom instructors additionally receive a solutions manual and sample MATLAB tutorial demos.

      Coverage includes:

      <

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