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中文名:MIT 数字通信原理I视频
英文名:MIT Principles of Digital Communications I
资料文件格式:视频
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描述:MIT “Principles of Digital Communications I” 视频(24课)
主讲人:Robert Gallager, Lizhong Zheng
link: http://www.core.org.cn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-450Principles-of-Digital-Communication---IFall2002/CourseHome/index.htm
Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.
1: Introduction to Digital Communication
2: Coding for Discrete Sources
3: Coding for Discrete Sources (continued)
4: Coding for Sequences of Source Symbols
5: Sources With Memory and the Lempel-Ziv Algorithm
6: Quantization
7: High-Rate Entropy-Coded Quantization
8-9: Analog Sources: Waveforms & Sequences
10: Waveforms as Vectors in Signal-Space
11: Introduction to Channels and PAM
12: QAM
13: QAM and Noise
14: Noise and Gaussian Random Processes
15: Gaussian Noise, Covariance and Spectral Density
16: Spectral Density, Orthonormal Expansions
17-18: Detection
19: The Irrelevance Theorem and Orthogonal Signal Sets
20: Wireless Communication Systems
21: Input/Output Models for Wireless
22: Stochastic Wireless Models
23: Channel Measurement and Rake Receivers
24: Coding, IS-95, and CDMA
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