Principles of Digital Communication ( EE501)
數(shù)字通信 視頻課程 ( MIT )
（25課時  ￥88）
Instructor: Prof. David Forney

        Principles of Digital Communication 是麻省理工大學(xué)高年級本科生課程，共25講，每講80分鐘左右。課程視頻全為.rm格式，同時有與視頻課程內(nèi)容配套的課程講義；有了課程講義讓您的學(xué)習(xí)更有效，在潛移默化中提高專業(yè)知識和英語能力。
        麻省理工學(xué)院（MIT）作為世界一流大學(xué)，有著世界頂級的大師，所設(shè)課程也都是精品中的精品，緊跟最新科技的進展。本站推出的美國一流大學(xué)精品視頻課程套裝，讓您足不出戶就能一睹世界一流大學(xué)大師教學(xué)的風(fēng)采；聆聽大師的聲音、拓展國際化的視野、與國際水平看齊、實現(xiàn)自我價值的提升。

        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.
　

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