Column Rank Distances of Rank Metric Convolutional Codes

Coding Theory and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66278-7_21 ◽

2017 ◽

pp. 248-256

Author(s):

Diego Napp ◽

Raquel Pinto ◽

Joachim Rosenthal ◽

Filipa Santana

Keyword(s):

Convolutional Codes ◽

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Rank metric convolutional codes for Random Linear Network Coding

2012 International Symposium on Network Coding (NetCod) ◽

10.1109/netcod.2012.6261875 ◽

2012 ◽

Author(s):

Antonia Wachter-Zeh ◽

Vladimir Sidorenko

Keyword(s):

Network Coding ◽

Convolutional Codes ◽

Linear Network ◽

Linear Network Coding ◽

Rank Metric ◽

Random Linear Network Coding

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A new rank metric for convolutional codes

Designs Codes and Cryptography ◽

10.1007/s10623-020-00808-w ◽

2020 ◽

Author(s):

P. Almeida ◽

D. Napp

Keyword(s):

Convolutional Codes ◽

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MRD rank metric convolutional codes

2017 IEEE International Symposium on Information Theory (ISIT) ◽

10.1109/isit.2017.8007033 ◽

2017 ◽

Author(s):

Diego Napp ◽

Raquel Pinto ◽

Joachim Rosenthal ◽

Paolo Vettori

Keyword(s):

Convolutional Codes ◽

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Convolutional Codes in Rank Metric With Application to Random Network Coding

IEEE Transactions on Information Theory ◽

10.1109/tit.2015.2424930 ◽

2015 ◽

Vol 61 (6) ◽

pp. 3199-3213 ◽

Author(s):

Antonia Wachter-Zeh ◽

Markus Stinner ◽

Vladimir Sidorenko

Keyword(s):

Network Coding ◽

Random Network ◽

Convolutional Codes ◽

Random Network Coding ◽

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Concatenation of convolutional codes and rank metric codes for multi-shot network coding

Designs Codes and Cryptography ◽

10.1007/s10623-017-0346-4 ◽

2017 ◽

Vol 86 (2) ◽

pp. 303-318 ◽

Author(s):

D. Napp ◽

R. Pinto ◽

V. Sidorenko

Keyword(s):

Network Coding ◽

Convolutional Codes ◽

Rank Metric ◽

Rank Metric Codes

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On error exponents for woven convolutional codes with outer warp and unequal error protection

European Transactions on Telecommunications ◽

10.1002/ett.4460140406 ◽

2003 ◽

Vol 14 (4) ◽

pp. 343-349

Author(s):

Viktor V. Zyablov ◽

Ralph Jordan

Keyword(s):

Convolutional Codes ◽

Unequal Error Protection ◽

Error Protection ◽

Error Exponents

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Pruned-trellis search technique for high-rate convolutional codes

IEE Proceedings E Computers and Digital Techniques ◽

10.1049/ip-e.1989.0055 ◽

1989 ◽

Vol 136 (5) ◽

pp. 405 ◽

Author(s):

J. Sun ◽

I.S. Reed ◽

H.E. Huey ◽

T.K. Truong

Keyword(s):

Convolutional Codes ◽

High Rate ◽

Search Technique

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Error performance of maximum-likelihood trellis decoding of (n, n−1) convolutional codes: a simulation study

IEE Proceedings F Communications Radar and Signal Processing ◽

10.1049/ip-f-1.1987.0111 ◽

1987 ◽

Vol 134 (7) ◽

pp. 673 ◽

Author(s):

L.H.C. Lee ◽

P.G. Farrell

Keyword(s):

Maximum Likelihood ◽

Simulation Study ◽

Convolutional Codes ◽

Error Performance ◽

Trellis Decoding

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Construction of High-Rate Punctured Convolutional Codes through Dual Codes

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e98.a.1579 ◽

2015 ◽

Vol E98.A (7) ◽

pp. 1579-1583 ◽

Author(s):

Sen MORIYA ◽

Kana KIKUCHI ◽

Hiroshi SASANO

Keyword(s):

Convolutional Codes ◽

High Rate ◽

Punctured Convolutional Codes

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A Trace-Back Method with Source States for Viterbi Decoding of Rate-1/n Convolutional Codes

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e95.a.767 ◽

2012 ◽

Vol E95-A (4) ◽

pp. 767-775

Author(s):

Kazuhito ITO

Keyword(s):

Convolutional Codes ◽

Viterbi Decoding ◽

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