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中文名:MIT 数字通信原理II视频
英文名:MIT Principles of Digital Communications II
资料文件格式:视频
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描述:MIT "Principles of Digital Communications II" (25课)
主讲人:Forney
link: http://www.core.org.cn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-451Spring-2005/CourseHome/index.htm
After a review of the Shannon limit for AWGN channels, the course begins by discussing small signal constellations, performance analysis and coding gain, and hard-decision and soft-decision decoding. It continues with binary linear block codes, Reed-Muller codes, finite fields, Reed-Solomon and BCH codes, binary linear convolutional codes, and the Viterbi algorithm.
More advanced topics include trellis representations of binary linear block codes and trellis-based decoding; codes on graphs; the sum-product and min-sum algorithms; the BCJR
algorithm; turbo codes, LDPC codes and RA codes; and performance of LDPC codes with iterative decoding. Finally, the course addresses coding for the bandwidth-limited regime, including lattice codes, trellis-coded modulation, multilevel coding and shaping. If time permits, it covers equalization of linear Gaussian channels.
1: Introduction (Sampling Theorem and Orthonormal PAM/QAM)
2: Performance of Small Signal Constellations
3-4: Hard-decision and Soft-decision Decoding
5-6: Introduction to Binary Block Codes
7-9: Introduction to Finite Fields
10-12: Reed-Solomon Codes
13-14: Introduction to Convolutional Codes
15-16: Trellis Representations of Binary Linear Block Codes
17-18: Codes on Graphs
19: The Sum-Product Algorithm
20-21: Turbo, LDPC, and RA Codes
22-23: Lattice and Trellis Codes
24-25: Linear Gaussian Channels
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