'Iterative decoding' presentation slideshows

Near Shannon Limit Performance of Low Density Parity Check Codes

Near Shannon Limit Performance of Low Density Parity Check Codes. David J.C. MacKay and Radford M. Neal , Electronics Letters 29th Vol. 32 No. 28, August 1996. Outline. Features of LDPC Codes History of LDPC Codes Some Fundamentals A Simple Example Properties of LDPC Codes

933 views • 63 slides

Soft Decision Decoding Algorithms of Reed-Solomon Codes

Soft Decision Decoding Algorithms of Reed-Solomon Codes. Jing Jiang and Krishna R. Narayanan Department of Electrical Engineering Texas A&M University. Historical Review of Reed Solomon Codes. Date of birth: 40 years ago (Reed and Solomon 1960)

1.29k views • 59 slides

Soft Decision Decoding of RS Codes Using Adaptive Parity Check Matrices

Soft Decision Decoding of RS Codes Using Adaptive Parity Check Matrices. Jing Jiang and Krishna R. Narayanan Wireless Communication Group Department of Electrical Engineering Texas A&M University. Reed Solomon Codes. Consider an (n,k) RS code over GF(2 m ), n = 2 m -1

738 views • 51 slides

ON THE ANALYSIS AND APPLICATION OF LDPC CODES

ON THE ANALYSIS AND APPLICATION OF LDPC CODES. OLGICA MILENKOVIC UNIVERSITY OF COLORADO, BOULDER A joint work with: VIDYA KUMAR (Ph.D) STEFAN LAENDNER (Ph.D) DAVID LEYBA (Ph.D) VIJAY NAGARAJAN (MS)

658 views • 51 slides

Soft Decision Decoding of RS Codes Using Adaptive Parity Check Matrices

Soft Decision Decoding of RS Codes Using Adaptive Parity Check Matrices. Jing Jiang and Krishna R. Narayanan Wireless Communication Group Department of Electrical Engineering Texas A&M University. Reed Solomon Codes. Consider an (n,k) RS code over GF(2 m ), n = 2 m -1

541 views • 51 slides

Analysis and Design of Mappings for Iterative Decoding of Bit-Interleaved Coded Modulation*

454 views • 28 slides

Analysis and Design of Mappings for Iterative Decoding of Bit-Interleaved Coded Modulation*

287 views • 28 slides

Comparison between Continuous-Time Asynchronous and Discrete-Time Synchronous Iterative Decoding

Comparison between Continuous-Time Asynchronous and Discrete-Time Synchronous Iterative Decoding. By Saied Hemati and Amir H. Banihashemi Department of Systems and Computer Engineering Broadband Communications and Wireless Systems (BCWS) Centre Carleton University Ottawa, Ontario, Canada.

456 views • 26 slides

Progress report of LDPC codes

Progress report of LDPC codes. Advisor : Tzi-Dar Chiueh Student : Hsiu-min Lin Date : Jan 3 th , 2005. Outline. Overview of LDPC and related application LDPC algorithm Optimum decoding Various Log Likelihood Ratio (LLR) introduction Simulation result LDPC architecture

690 views • 24 slides

Log-Likelihood Algebra

? = - L (d). L (d). +. L (d). 0 = 0. +. Log-Likelihood Algebra. ?Sum of two LLRs L(d 1 ) + L(d 2 ) ? L ( d 1 ? d 2 ) = log exp[L(d 1 )] + exp [L(d 2 )] 1 + exp[L(d 1 )].exp [L(d 2 )]

275 views • 22 slides

Different Channel Coding Options for MIMO-OFDM 802.11n

Different Channel Coding Options for MIMO-OFDM 802.11n. Ravi Mahadevappa, ravi@realtek-us.com Stephan ten Brink, stenbrink@realtek-us.com Realtek Semiconductors, Irvine, CA. Overview. Simulation environment/assumptions Different channel codes Comparison: Required SNR, selected cases

589 views • 22 slides

Noisy Group T esti ng (quick and efficient )

Noisy Group T esti ng (quick and efficient ). Mohammad Jahangoshahi Sheng Cai Mayank Bakshi Sidharth Jaggi. GROTESQUE : Noisy GRO up TES ting ( QU ick and E fficient). Mohammad Jahangoshahi Sheng Cai Mayank Bakshi Sidharth Jaggi. n-d. q. d. 0. 1. q. 0. 1.

323 views • 20 slides

III. Turbo Codes

III. Turbo Codes. Summary MAP Algorithm. Forward Recursive Equation. Backward Recursive Equation. Iterative Decoding Principles. Note that. Iterative Decoding Principles. Iterative Decoding Principles. Iterative Decoding Principles. Define. Iterative Decoding Principles.

410 views • 17 slides

Data transmission through channels with a large noise level:

Data transmission through channels with a large noise level:. The effective decoders. D. Sc. V. V. Zolotarev. 0 1 0 0 0?1110? 01? 0 1 # ?. The main limitation in information theory for coding. The condition should be always satisfied: R < C !

264 views • 15 slides

Impulsive noise mitigation in OFDM systems using sparse bayesian learning

Impulsive noise mitigation in OFDM systems using sparse bayesian learning. Jing Lin, Marcel Nassar and Brian L. Evans Department of Electrical and Computer Engineering The University of Texas at Austin.

295 views • 13 slides

Iterative decoding steps

{ ? k 1 } ? ? k m exp { x k . u k 1 + y k . V k 1,m } ? k+1 f(1,m). m. { ? k 0 } ? ? k m exp { x k . u k 0 + y k . V k 0,m } ? k+1 f(0,m). m. ? ? k m exp { y k . V k 1,m } ? k+1 f(1,m). m. { ? k } exp { 2x k }.

229 views • 11 slides

Amir H. Banihashemi Broadband Communications and Wireless Systems (BCWS) Centre

Iterative Coding for Broadband Communications: A Research Overview of New Trends in Theory and Practice. Amir H. Banihashemi Broadband Communications and Wireless Systems (BCWS) Centre Dept. of Systems & Computer Engineering Carleton University. Research Projects.

210 views • 4 slides