chap4.pdf This resource contains notes on Discrete-time AWGN channel model, two normalized measures of SNR, power-limited and bandwidth-limited channels, and performance of M-PAM and (M ? M )-QAM. en LOMv1.0 2 Spring 2005 OCW_LOMv1.0 Author Forney, David 2012-8-11 /courses/electrical-engineering-and-computer-science/6-451-principles-of-digital-communication-ii-spring-2005/lecture-notes/chap4.pdf application/pdf 146291 LOMv1.0 Browser LOMv1.0 Internet Explorer 6.0 LOMv1.0 Browser LOMv1.0 Mozilla Firefox 3.0 LOMv1.0 Browser LOMv1.0 Safari 4.0 LOMv1.0 Software LOMv1.0 Adobe Acrobat 4.0 LOMv1.0 Instructional Material | Lecture/Presentation OCW_LOMv1.0 Graduate LOMv1.0 yes This site (c) Massachusetts Institute of Technology 2012. 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") unless otherwise noted. 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. LOMv1.0 ispartof OCW Master Course Number 6.451 Principles of Digital Communication II Spring 2005 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. CIP 090702 Digital Communication and Media/Multimedia CIP 141001 Electrical, Electronics and Communications Engineering