1986 - IEEE Fellow For contributions to coding for reliable communication and to engineering education.
His primary areas of investigation include Convolutional code, Block code, Algorithm, Concatenated error correction code and Turbo code. He interconnects Discrete mathematics, Theoretical computer science, Communication channel, Low-density parity-check code and Parity bit in the investigation of issues within Block code. The Algorithm study combines topics in areas such as Encoder, Phase-shift keying and Bit error rate.
Daniel J. Costello is involved in the study of Concatenated error correction code that focuses on Serial concatenated convolutional codes in particular. Daniel J. Costello combines subjects such as Concatenation, Sequential decoding and Error floor with his study of Serial concatenated convolutional codes. His research investigates the connection between Turbo code and topics such as Linear code that intersect with problems in Turbo equalizer.
His scientific interests lie mostly in Algorithm, Low-density parity-check code, Block code, Concatenated error correction code and Convolutional code. His research in Algorithm intersects with topics in Theoretical computer science, Encoder, Communication channel, Bit error rate and Upper and lower bounds. He works mostly in the field of Block code, limiting it down to topics relating to Discrete mathematics and, in certain cases, Combinatorics.
His Concatenated error correction code research is multidisciplinary, incorporating perspectives in Sequential decoding and Linear code. His Convolutional code research focuses on subjects like Error detection and correction, which are linked to Automatic repeat request. His Serial concatenated convolutional codes research integrates issues from Parallel computing, Turbo code and Error floor.
Daniel J. Costello mainly focuses on Low-density parity-check code, Algorithm, Decoding methods, Block code and Concatenated error correction code. His studies deal with areas such as Discrete mathematics and Theoretical computer science as well as Low-density parity-check code. The concepts of his Algorithm study are interwoven with issues in Upper and lower bounds, Puncturing and Code.
His work on Convolutional code as part of general Decoding methods research is frequently linked to Sliding window protocol, thereby connecting diverse disciplines of science. His research integrates issues of Real-time computing, Sequential decoding and Linear code in his study of Concatenated error correction code. Much of his study explores Linear code relationship to Turbo code.
Daniel J. Costello spends much of his time researching Low-density parity-check code, Decoding methods, Block code, Concatenated error correction code and Discrete mathematics. His Decoding methods study deals with the bigger picture of Algorithm. His Error floor study in the realm of Algorithm connects with subjects such as Sliding window protocol.
His research investigates the connection between Concatenated error correction code and topics such as Linear code that intersect with issues in Turbo code. His research in Discrete mathematics intersects with topics in Unification, Information theory and Algebraic method, Algebraic number. His biological study deals with issues like Sequential decoding, which deal with fields such as List decoding and Convolutional code.
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Error control coding : fundamentals and applications
Shu Lin;Daniel J. Costello.
Automatic-repeat-request error-control schemes
Shu Lin;D. Costello;M. Miller.
IEEE Communications Magazine (1984)
LDPC block and convolutional codes based on circulant matrices
R.M. Tanner;D. Sridhara;A. Sridharan;T.E. Fuja.
IEEE Transactions on Information Theory (2004)
Applications of error-control coding
D.J. Costello;J. Hagenauer;H. Imai;S.B. Wicker.
IEEE Transactions on Information Theory (1998)
Bandwidth efficient coding for fading channels: code construction and performance analysis
C. Schlegel;D.J. Costello.
IEEE Journal on Selected Areas in Communications (1989)
Iterative Decoding Threshold Analysis for LDPC Convolutional Codes
Michael Lentmaier;Arvind Sridharan;Daniel J Costello;Kamil Sh Zigangirov.
IEEE Transactions on Information Theory (2010)
A Network Coding Approach to Cooperative Diversity
Lei Xiao;T. Fuja;J. Kliewer;D. Costello.
IEEE Transactions on Information Theory (2007)
Bandwidth- and power-efficient routing in linear wireless networks
M. Sikora;J.N. Laneman;M. Haenggi;D.J. Costello.
IEEE Transactions on Information Theory (2006)
Trellis-coded multidimensional phase modulation
S.S. Pietrobon;R.H. Deng;A. Lafanechere;G. Ungerboeck.
IEEE Transactions on Information Theory (1990)
Error Control Coding, Second Edition
Shu Lin;Daniel J. Costello.
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