6.451 Principles of Digital Communication II, Spring 2003

Forney, G. David

Author(s)

Forney, G. David

Download6-451Spring-2003/OcwWeb/Electrical-Engineering-and-Computer-Science/6-451Spring-2003/CourseHome/index.htm (16.27Kb)

Alternative title

Principles of Digital Communication II

Terms of use

Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.

Metadata

Show full item record

Abstract

Coding for the AWGN channel; block and convolutional codes; lattice and trellis codes; capacity-approaching codes; equalization of linear Gaussian channels; linear, decision-feedback, and MLSD equalization; precoding; multicarrier modulation; and topics in wireless communication. Description from the course home page: This course is the second of a two-term sequence with 6.450. The focus is 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.

Date issued

2003-06

URI

http://hdl.handle.net/1721.1/36834

Department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Other identifiers

6.451-Spring2003

local: 6.451

local: IMSCP-MD5-7b3d320cf570ec10712dab3722572ec0

Keywords

coding techniques, the Shannon limit of additive white Gaussian noise channels, Small signal constellations, performance analysis, coding gain, Hard-decision and soft-decision decoding, Introduction to binary linear block codes, Reed-Muller codes, finite fields, Reed-Solomon and BCH codes, binary linear convolutional codes, Viterbi and BCJR algorithms, Trellis representations of binary linear block codes, trellis-based ML decoding, Codes on graphs, sum-product, max-product, decoding algorithms, Turbo codes, LDPC codes and RA codes, Coding for the bandwidth-limited regime, Lattice codes, Trellis-coded modulation, Multilevel coding, Shaping

Collections

MIT OCW Archived Courses