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數字通信:英文版 版權信息
- ISBN:7121031485
- 條形碼:9787121031489 ; 978-7-121-03148-9
- 裝幀:簡裝本
- 冊數:暫無
- 重量:暫無
- 所屬分類:>>>
數字通信:英文版 內容簡介
本書是經典教材的大開本影印版本。本書是數字通信領域的一本經典教材,通過對概率論及隨機過程的復習,詳細介紹了數字和模擬信源編碼、數字調制信號和窄帶信號與系統的特征、加性高斯白噪聲中數字通信的調制和*佳調制與檢測方法、基于*大似然準則的載波相位估計和定時同步的方法、不同信道模型的信道容量及隨機編碼、帶限信道的信號設計、受到符號間干擾惡化信號的解調與檢測問題、自適應信道均衡、多信道與多載波調制、擴展頻譜信號和系統、衰落信道上的數字通信。本書適合通信工程相關專業的高年級本科生、研究生及工程技術人員閱讀。
數字通信:英文版 目錄
1 Introduction .
1.1 Elements of a Digital Communication System
1.2 Communication Channels and Their Characteristics
1.3 Mathematical Models for Communication Channels
1.4 A Historical Perspective in the Development of Digital Communications
1.5 Overview of the Book
1.6 Bibliographical Notes and References Probability and Stochastic Processes
2.1 Probability
2.2 Stochastic Processes
2.3 Bibliographical Notes and References Problems
3 Source Coding
3.1 Mathematical Models for Information Sources
3.2 A Logarithmic Measure of Information
3.3 Coding for Discrete Sources
3.4 Coding for Analog Sources--Optimum Quantization
3.5 Coding Techniques for Analog Sources
3.6 Bibliographical Notes and References Problems
4 Characterization of Communication Signals and Systems
4.1 Representation of Band-Pass Signals and Systems
4.2 Signal Space Representations
1.1 Elements of a Digital Communication System
1.2 Communication Channels and Their Characteristics
1.3 Mathematical Models for Communication Channels
1.4 A Historical Perspective in the Development of Digital Communications
1.5 Overview of the Book
1.6 Bibliographical Notes and References Probability and Stochastic Processes
2.1 Probability
2.2 Stochastic Processes
2.3 Bibliographical Notes and References Problems
3 Source Coding
3.1 Mathematical Models for Information Sources
3.2 A Logarithmic Measure of Information
3.3 Coding for Discrete Sources
3.4 Coding for Analog Sources--Optimum Quantization
3.5 Coding Techniques for Analog Sources
3.6 Bibliographical Notes and References Problems
4 Characterization of Communication Signals and Systems
4.1 Representation of Band-Pass Signals and Systems
4.2 Signal Space Representations
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