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開始日期:
2023年6月17日
專業(yè)方向:
理工
導師:
Justin(牛津大學 University of Oxford 終身正教授)
課程周期:
7周在線小組科研+5周論文指導
語言:
英文
建議學生年級:
大學生
項目產出:
7周在線小組科研學習+5周論文指導學習 學術報告 EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級別索引國際會議全文投遞與發(fā)表指導(共同一作) 結業(yè)證書 成績單
項目介紹:
導師將系統(tǒng)地講解香農信息論基本理論及其在數(shù)據(jù)傳輸中的應用問題,涵蓋了信息論的各個方面的知識。具體內容包括:信息的定義和度量;各類離散信源和連續(xù)信源的信息熵;有記憶,無記憶,離散和連續(xù)信道的信道容量;香農信息論的三個基本定理:無失真數(shù)據(jù)壓縮(即無失真信源編碼)的實用編碼算法與方法,以及信道糾錯編碼的基本內容和分析方法等方面。學生將利用上述理論完成小型通信系統(tǒng)的搭建或對提出對現(xiàn)有通信系統(tǒng)的優(yōu)化方法,在項目結束時提交項目報告,進行成果展示。 The instructor will systematically cover the basic theory of Shannon's information theory and its application problems in data transmission, covering knowledge of all aspects of information theory. Specific aspects include: definition and measurement of information; information entropy of various discrete and continuous sources; channel capacity of memorized, memoryless, discrete and continuous channels; three fundamental theorems of Shannon's information theory: practical coding algorithms and methods for distortion-free data compression (i.e., distortion-free source coding), and basic content and analysis methods of channel error correction coding. Students will use the above theories to complete the construction of a small communication system or to propose an optimization method for an existing communication system, and submit a project report at the end of the project to present their results.