This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion. The first quarter of the book is devoted to information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the book. After a brief discussion of general families of codes, the author discusses linear codes (including the Hamming, Golary, the Reed-Muller codes), finite fields, and cyclic codes (including the BCH, Reed-Solomon, Justesen, Goppa, and Quadratic Residue codes). An appendix reviews relevant topics from modern algebra.
發表於2024-11-23
Coding and Information Theory (Graduate Texts in Mathematics) 2024 pdf epub mobi 電子書 下載
圖書標籤: 計算機 數學 計算機科學 教材 信息論 計算 編碼 復旦
數學方麵比較簡單
評分不知道你們這麼推GTM乾什麼。又貴 內容也就這樣
評分不知道你們這麼推GTM乾什麼。又貴 內容也就這樣
評分數學方麵比較簡單
評分|大三到大四
Coding and Information Theory (Graduate Texts in Mathematics) 2024 pdf epub mobi 電子書 下載