Turbo decoding as iterative constrained maximum-likelihood sequence detection

Journal article

Peer reviewed

John Mac Laren Walsh, Phillip A. Regalia and C. Richard Johnson

IEEE transactions on information theory, v 52(12), pp 5426-5437

01 Dec 2006

Additional Links

Constrained optimization

Maximum-likelihood decoding

Turbo decoder convergence analysis

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17 citations in Scopus

Title: Turbo decoding as iterative constrained maximum-likelihood sequence detection
Creators: John Mac Laren Walsh - Drexel University, Electrical and Computer Engineering
Phillip A. Regalia - Catholic University of America
C. Richard Johnson - Cornell University
Publication Details: IEEE transactions on information theory, v 52(12), pp 5426-5437
Publisher: IEEE
Number of pages: 12
Grant note: 507325 / Network of Excellence in Wireless Communications Applied Signal Technology CCF-0310023; INT-0233127 / National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001) 14871 / Centre National de la Recherche Scientifique (http://data.elsevier.com/vocabulary/SciValFunders/501100004794) Groupe des Ecoles des Télécommunications
Resource Type: Journal article
Language: English
Academic Unit: Electrical and Computer Engineering
Web of Science ID: WOS:000242503300016
Scopus ID: 2-s2.0-33947409037
Other Identifier: 991014632946304721

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types: Domestic collaboration
Web of Science research areas: Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Mathematics, Applied