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Fundamentals of Radar Imaging (CBMS-NSF Regional Conference Series in Applied Mathematics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Fundamentals of Radar Imaging (CBMS-NSF Regional Conference Series in Applied Mathematics)
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Margaret Cheney 作者
Society for Industrial Mathematics
譯者
2009-10-08 出版日期
164 頁數
USD 59.00 價格
Paperback
CBMS-NSF Regional Conference Series in Applied Mathematics 叢書系列
9780898716771 圖書編碼

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Fundamentals of Radar Imaging (CBMS-NSF Regional Conference Series in Applied Mathematics) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Fundamentals of Radar Imaging (CBMS-NSF Regional Conference Series in Applied Mathematics) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Fundamentals of Radar Imaging (CBMS-NSF Regional Conference Series in Applied Mathematics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Fundamentals of Radar Imaging (CBMS-NSF Regional Conference Series in Applied Mathematics) 在線電子書 著者簡介

Fundamentals of Radar Imaging (CBMS-NSF Regional Conference Series in Applied Mathematics) 在線電子書 著者簡介

Fundamentals of Radar Imaging (CBMS-NSF Regional Conference Series in Applied Mathematics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Fundamentals of Radar Imaging (CBMS-NSF Regional Conference Series in Applied Mathematics) 在線電子書 圖書描述

Radar imaging is a mathematically rich subject with many interesting applications and a large variety of challenging, mathematical open problems. The goal of this book is to provide mathematicians with the background they need to work in the field, building on the foundation of the underlying partial differential equations. The focus is on showing the connection between the physics and the mathematics and on supplying an intuitive mathematical understanding of basic concepts. The book includes a description of how a radar system works, together with the relevant mathematics; theory that guides the choice of radar waveforms; derivation of the fundamentals of scattering theory; derivation and discussion of the image formation process; and a long list of current open problems. Readers are assumed to be familiar with the Fourier transform. Other assumed background material includes certain basic facts from vector calculus, complex variables, linear algebra and physics.

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