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Principles of Digital Communication ( EE501)
數字通信 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容配套的課程講義;有了課程講義讓您的學習更有效,在潛移默化中提高專業知識和英語能力。
        麻省理工學院(MIT)作為世界一流大學,有著世界頂級的大師,所設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精品視頻課程套裝,讓您足不出戶就能一睹世界一流大學大師教學的風采;聆聽大師的聲音、拓展國際化的視野、與國際水平看齊、實現自我價值的提升。

 

 

Course Description:

        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.
 

Textbooks:

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

Course Schedule

Lec #

CHAPTERS

Topics

1

1-3

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

2

4

Performance of Small Signal Constellations

3-4

5

Hard-decision and Soft-decision Decoding

5-6

6

Introduction to Binary Block Codes

7-9

7

Introduction to Finite Fields

10-12

8

Reed-Solomon Codes

13-14

9

Introduction to Convolutional Codes

15-16

10

Trellis Representations of Binary Linear Block Codes

17-18

11

Codes on Graphs

19

12

The Sum-Product Algorithm

20-21

13

Turbo, LDPC, and RA Codes

22-23

14

Lattice and Trellis Codes

 

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