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Reference Data for Engineers

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Van Valkenburg, Mac E. (EDT)/ Middleton, Wendy M. (EDT) 作者
Butterworth-Heinemann
譯者
2001-10 出版日期
1672 頁數
$ 271.20 價格
HRD
叢書系列
9780750672917 圖書編碼

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Reference Data for Engineers 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Reference Data for Engineers 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Reference Data for Engineers 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Reference Data for Engineers 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Reference Data for Engineers 在線電子書 圖書描述

"Reference Data for Engineers" is the most respected, reliable, and indispensable reference tool for technical professionals around the globe. Written by professionals for professionals, this book is a complete reference for engineers, covering a broad range of topics. It is the combined effort of 96 engineers, scientists, educators, and other recognized specialists in the fields of electronics, radio, computer, and communications technology. By providing an abundance of information on essential, need-to-know topics without heavy emphasis on complicated mathematics, "Reference Data for Engineers" is an absolute 'must-have' for every engineer who requires comprehensive electrical, electronics, and communications data at his or her fingertips. Featured in the ninth edition is updated coverage on intellectual property and patents, probability and design, antennas, power electronics, rectifiers, power supplies, and properties of materials. Useful information on units, constants and conversion factors, active filter design, antennas, integrated circuits, surface acoustic wave design, and digital signal processing is also included. The ninth edition also offers new knowledge in the fields of satellite technology, space communication, microwave science, telecommunication, global positioning systems, frequency data, and radar. This book is widely acclaimed as the most practical reference ever published for a wide range of electronics and computer professionals, from technicians through post-graduate engineers. It provides a great way to learn or review the basics of various technologies, with a minimum of tables, equations, and other heavy math.

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