The Mathematical Theory of Communication pdf epub mobi txt 電子書下載2025

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Claude Elwood Shannon (April 30, 1916 – February 24, 2001) was an American mathematician, electrical engineer, and cryptographer known as "the father of information theory". Shannon is noted for having founded information theory with a landmark paper, "A Mathematical Theory of Communication", that he published in 1948. He is also well known for founding digital circuit design theory in 1937, when—as a 21-year-old master's degree student at the Massachusetts Institute of Technology (MIT)—he wrote his thesis demonstrating that electrical applications of Boolean algebra could construct any logical numerical relationship. Shannon contributed to the field of cryptanalysis for national defense during World War II, including his fundamental work on codebreaking and secure telecommunications.

Warren Weaver (July 17, 1894 – November 24, 1978) was an American scientist, mathematician, and science administrator. He is widely recognized as one of the pioneers of machine translation, and as an important figure in creating support for science in the United States.

出版者:University of Illinois Press

作者:Claude E Shannon

出品人:

頁數:144

译者:

出版時間:1971

價格:USD 23.00

裝幀:Paperback

isbn號碼:9780252725487

叢書系列:

圖書標籤:

信息論
數學
信息
Shannon
information
通信理論
theory
通信

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Scientific knowledge grows at a phenomenal pace-but few books have had as lasting an impact or played as important a role in our modern world as "The Mathematical Theory of Communication", published originally as a paper on communication theory in the "Bell System Technical Journal" more than fifty years ago. Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.

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Khan Academy上有一係列有關Information Theory的入門視頻，講得特彆好：https://www.khanacademy.org/computing/computer-science/informationtheory/moderninfotheory/v/symbol-rate-information-theory

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信息量（熵）是各種可能選擇概率的對數和取反

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MIT真是人纔濟濟。ocw、mitx給我自學提供瞭很好的條件，真是萬分感謝。最近聽6.004時，老師講到瞭信息的定義、code、壓縮等，詳細瞭解一下就找到瞭香濃的這篇論文，他的老師說這是20世紀最偉大的論文。

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信息量（熵）是各種可能選擇概率的對數和取反