Introduction radar using python par harrison andy (29 résultats)

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

Hardcover. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Etat : new.

Hardback. Etat : New.

Etat : New.

Hardback. Etat : 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.…

Etat : New. In English.

Etat : New. In English.

Etat : New. 2022. Hardcover. . . . . .

Etat : New.

Etat : New.

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

Hardback. Etat : 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.…

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

Etat : New.

Etat : New. 2019. Hardcover. . . . . .

Buch. Etat : 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.…

Etat : New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.

Hardback. Etat : New.

Hardback. Etat : New.

Hardback. Etat : 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.…

Buch. Etat : Neu. Introduction to Synthetic Aperture Radar Using Python and MATLAB | Andy Harrison | Buch | Gebunden | Englisch | 2022 | Artech House Publishers | EAN 9781630818647 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

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

Etat : Brand New. In Stock.

Hardback. Etat : 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.…

Buch. Etat : Neu. Neuware - Introduction to Radar Using Python and MATLAB(R), Second Edition: With Applications in Artificial Intelligence and Machine Learning provides a comprehensive, hands-on framework for understanding, designing, analyzing, and implementing modern radar systems. From electromagnetic field theory through advanced applications in synthetic aperture radar (SAR), this authoritative resource equips professionals with the integrated knowledge and practical tools required for next-generation development. The second edition extends coverage to cutting-edge technologies, integrating artificial intelligence and machine learning (AI/ML), alongside photonic receivers for enhanced radar dectection, target classification, tracking, SAR, and electronic warfare. An accompanying radar software tool suite directly supports practical exploration of these advanced concepts. Designed for interactive analysis, the software enables engineers to visualize radar performance, evaluate design trade-offs, and interactively test parameters across every chapter. The suite delivers interactive graphical user interfaces in Python, complemented by Jupyter not Elektronisches Buch, MATLAB applications, and MATLAB Live Scripts. These utilities update dynamic plots as parameters adjust, driving rapid experimentation and reinforcing the connection between theoretical concepts and system-level behavior.This essential resource serves radar systems engineers, signal processing specialists, defense and aerospace professionals, and graduate students pursuing advanced radar design. Packed with over 1,000 equations, 300 detailed figures, 100 runnable code examples, and 200 comprehensive end-of-chapter problems for active learning, the text delivers the technical depth required to design, analyze, and optimize operational radar platforms. Engineers will gain an immediate competitive advantage by mastering both classical processing and modern AI-driven techniques to solve complex challenges in clutter rejection, target identification, and system integration.…

Hardback. Etat : New.

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

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