Introduction Radar Using Python by Harrison Andy (17 results)

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  • Language: English

    Published by Artech House Publishers, 2022

    163081864X / 9781630818647

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    HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: English

    Published by Artech House Publishers, 2019

    1630815977 / 9781630815974

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  • Language: English

    Published by Artech House Publishers, 2022

    163081864X / 9781630818647

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  • Language: English

    Published by Artech House on Demand, 2022

    163081864X / 9781630818647

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  • Language: English

    Published by Artech House on Demand, 2022

    163081864X / 9781630818647

    • Hardcover

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  • Language: English

    Published by Artech House Publishers, US, 2019

    1630815977 / 9781630815974

    • Hardcover

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    Hardback. Condition: New. "A well-constructed and concisely written book, incorporating a balanced combination of textual explanations and well-presented mathematical descriptions, which serves both as an introduction to many important aspects of radar but also as an extensive exercise in the usage and application of both the MATLAB and Python programming applications. It is eminently readable and understandable. I assess that it is probably most relevant to post graduate student scientists and engineers requiring a moderately detailed understanding of aspects of radar with a view to practical applications"Aerospace Magazine This comprehensive resource provides readers with the tools necessary to perform analysis of various waveforms for use in radar systems. It provides information about how to produce synthetic aperture (SAR) images by giving a tomographic formulation and implementation for SAR imaging. Tracking filter fundamentals, and each parameter associated with the filter and how each affects tracking performance are also presented. Various radar cross section measurement techniques are covered, along with waveform selection analysis through the study of the ambiguity function for each particular waveform from simple linear frequency modulation (LFM) waveforms to more complicated coded waveforms. The text includes the Python tool suite, which allows the reader to analyze and predict radar performance for various scenarios and applications. Also provided are MATLAB® scripts corresponding to the Python tools. The software includes a user-friendly graphical user interface (GUI) that provides visualizations of the concepts being covered. Users have full access to both the Python and MATLAB source code to modify for their application. With examples using the tool suite are given at the end of each chapter, this text gives readers a clear understanding of how important target scattering is in areas of target detection, target tracking, pulse integration, and target discrimination.

  • Language: English

    Published by Artech House Publishers, 2019

    1630815977 / 9781630815974

    • Hardcover

    Seller: California Books, Miami, FL, U.S.A.California Books

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  • Language: English

    Published by Artech House Publishers, 2019

    1630815977 / 9781630815974

    • Hardcover

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    Condition: New. 2019. Hardcover. . . . . .

  • Language: English

    Published by Artech House Publishers, 2022

    163081864X / 9781630818647

    • Hardcover

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  • Language: English

    Published by Artech House Publishers, US, 2019

    1630815977 / 9781630815974

    • Hardcover

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    Hardback. Condition: New. "A well-constructed and concisely written book, incorporating a balanced combination of textual explanations and well-presented mathematical descriptions, which serves both as an introduction to many important aspects of radar but also as an extensive exercise in the usage and application of both the MATLAB and Python programming applications. It is eminently readable and understandable. I assess that it is probably most relevant to post graduate student scientists and engineers requiring a moderately detailed understanding of aspects of radar with a view to practical applications"Aerospace Magazine This comprehensive resource provides readers with the tools necessary to perform analysis of various waveforms for use in radar systems. It provides information about how to produce synthetic aperture (SAR) images by giving a tomographic formulation and implementation for SAR imaging. Tracking filter fundamentals, and each parameter associated with the filter and how each affects tracking performance are also presented. Various radar cross section measurement techniques are covered, along with waveform selection analysis through the study of the ambiguity function for each particular waveform from simple linear frequency modulation (LFM) waveforms to more complicated coded waveforms. The text includes the Python tool suite, which allows the reader to analyze and predict radar performance for various scenarios and applications. Also provided are MATLAB® scripts corresponding to the Python tools. The software includes a user-friendly graphical user interface (GUI) that provides visualizations of the concepts being covered. Users have full access to both the Python and MATLAB source code to modify for their application. With examples using the tool suite are given at the end of each chapter, this text gives readers a clear understanding of how important target scattering is in areas of target detection, target tracking, pulse integration, and target discrimination.

  • Language: English

    Published by Artech House Publishers, 2019

    1630815977 / 9781630815974

    • Hardcover

    Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore

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    Condition: New. 2019. Hardcover. . . . . . Books ship from the US and Ireland.

  • Language: English

    Published by Artech House Publishers, US, 2019

    1630815977 / 9781630815974

    • Hardcover

    Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK

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    Hardback. Condition: New. "A well-constructed and concisely written book, incorporating a balanced combination of textual explanations and well-presented mathematical descriptions, which serves both as an introduction to many important aspects of radar but also as an extensive exercise in the usage and application of both the MATLAB and Python programming applications. It is eminently readable and understandable. I assess that it is probably most relevant to post graduate student scientists and engineers requiring a moderately detailed understanding of aspects of radar with a view to practical applications"Aerospace Magazine This comprehensive resource provides readers with the tools necessary to perform analysis of various waveforms for use in radar systems. It provides information about how to produce synthetic aperture (SAR) images by giving a tomographic formulation and implementation for SAR imaging. Tracking filter fundamentals, and each parameter associated with the filter and how each affects tracking performance are also presented. Various radar cross section measurement techniques are covered, along with waveform selection analysis through the study of the ambiguity function for each particular waveform from simple linear frequency modulation (LFM) waveforms to more complicated coded waveforms. The text includes the Python tool suite, which allows the reader to analyze and predict radar performance for various scenarios and applications. Also provided are MATLAB® scripts corresponding to the Python tools. The software includes a user-friendly graphical user interface (GUI) that provides visualizations of the concepts being covered. Users have full access to both the Python and MATLAB source code to modify for their application. With examples using the tool suite are given at the end of each chapter, this text gives readers a clear understanding of how important target scattering is in areas of target detection, target tracking, pulse integration, and target discrimination.

  • Language: English

    Published by Artech House Publishers Aug 2022, 2022

    163081864X / 9781630818647

    • Hardcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. Neuware - This comprehensive introduction to synthetic aperture radar (SAR) is a practical guide to the analysis, simulation, and design of SAR systems. The video Elektronisches Buch uses constructive examples and real-world collected datasets to demonstrate image registration and autofocus methods. Both two- and three-dimensional image formation algorithms are presented. Hardware, software, and environmental parameters are used to estimate performance limits for SAR operation and utilization. A set of Python and MATLAB software tools is included and provides you with an effective mechanism to analyze and predict SAR performance for various imaging scenarios and applications. Examples which use the software tools are provided at the end of each chapter to reinforce critical SAR imaging topics such as clutter-to-noise ratio, mapping rate, spatial resolution, Doppler bandwidth, pulse repetition frequency, and coherency. This is an excellent resource for engineering professionals working in areas of radar signal processing and imaging as well as students interested in studying SAR.

  • Language: English

    Published by Artech House Publishers, 2022

    163081864X / 9781630818647

    • Hardcover

    Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK

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  • Published by Artech House

    • Hardcover

    Seller: Academic Book Solutions, Medford, NY, U.S.A.Academic Book Solutions

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    Hardcover. Condition: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.

  • Published by Artech House

    • Hardcover

    Seller: Academic Book Solutions, Medford, NY, U.S.A.Academic Book Solutions

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    Hardcover. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

  • Language: English

    Published by Artech House Publishers, 2022

    163081864X / 9781630818647

    • Hardcover
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    Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE

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    Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.