Principles of Digital Communication

Principles of Digital Communication 是麻省理工大学高年级本科生课程，共25讲，每讲80分钟左右。课程视频全为.rm格式，同时有与视频课程内容配套的课程讲义；有了课程讲义让您的学习更有效，在潜移默化中提高专业知识和英语能力。

麻省理工学院（MIT）作为世界一流大学，有着世界顶级的大师，所设课程也都是精品中的精品，紧跟最新科技的进展。本站推出的美国一流大学电子、射频、通信精品视频课程套装，让您足不出户就能一睹世界一流大学大师教学的风采；聆听大师的声音、拓展国际化的视野、与国际水平看齐、实现自我价值的提升。

This course is focused on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. After a review of 6.450 and 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.

Proakis, J. G. Digital Communications. 4th ed. Boston, MA: McGraw-Hill, 2001

● Introduction Sampling Theorem and Orthonormal PAM/QAM Capacity of AWGN Channels

● Performance of Small Signal Constellations

● Hard-decision and Soft-decision Decoding

●  Introduction to Binary Block Codes

● Introduction to Finite Fields

● Reed-Solomon Codes

●  Introduction to Convolutional Codes

● Trellis Representations of Binary Linear Block Codes

●  Codes on Graphs

● The Sum-Product Algorithm

● Turbo, LDPC, and RA Codes

● Lattice and Trellis Codes