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Deletion channel
A deletion channel is a communications channel model used in coding theory and information theory. In this model, a transmitter sends a bit (a zero…
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Related topics
Related topics
4 relations
Binary erasure channel
Channel capacity
Coding theory
Information theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Efficient compression algorithm for file updates under random insertions and deletions
Qiwen Wang
,
M. Médard
,
M. Skoglund
Information Theory Workshop
2016
Corpus ID: 12424755
The problem of one-way file synchronization from the client to the data-center, namely, file updates, is studied. The problem is…
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2013
2013
An improvement of the deletion channel capacity upper bound
Mojtaba Rahmati
,
T. Duman
Allerton Conference on Communication, Control…
2013
Corpus ID: 10042941
In this paper, we offer an alternative look at channels with deletion errors by considering equivalent models for deletion…
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2011
2011
Optimal coding for the deletion channel with small deletion probability
Yashodhan Kanoria
,
A. Montanari
arXiv.org
2011
Corpus ID: 14651510
The deletion channel is the simplest point-to-point communication channel that models lack of synchronization. Input bits are…
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2011
2011
On capacity and coding for segmented deletion channels
Feng Wang
,
D. Aktas
,
T. Duman
Allerton Conference on Communication, Control…
2011
Corpus ID: 14912297
We consider binary deletion channels with a segmentation assumption which appears to be suited for more practical scenarios…
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2011
2011
Using variable-length codes to correct Insertion, Deletion and substitution errors
Victor Buttigieg
Canadian Workshop on Information Theory
2011
Corpus ID: 18665509
A maximum likelihood metric is derived for the decoding of variable-length codes over a Binary Substitution, Insertion and…
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2010
2010
A new bound for the capacity of the deletion channel with high deletion probabilities
M. Dalai
arXiv.org
2010
Corpus ID: 8025647
Let $C(d)$ be the capacity of the binary deletion channel with deletion probability $d$. It was proved by Drinea and Mitzenmacher…
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2010
2010
Privacy Preserving Classification in Two-Dimension Distributed Data
Luong The Dung
,
H. Bao
,
Nguyễn Thế Bình
,
T. Hoang
Second International Conference on Knowledge and…
2010
Corpus ID: 8575621
Within the context of privacy preserving data mining, several solutions for privacy-preserving classification rules learning such…
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2009
2009
Novel bounds on the capacity of binary channels with deletions and substitutions
D. Fertonani
,
T. Duman
IEEE International Symposium on Information…
2009
Corpus ID: 16405012
We present novel bounds on the capacity of binary channels with independent and identically distributed deletions and…
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2006
2006
Bidirectional Viterbi Decoding using the Levenshtein Distance Metric for Deletion Channels
Ling Cheng
,
H. C. Ferreira
,
T. Swart
IEEE Information Theory Workshop - ITW '06…
2006
Corpus ID: 17864267
In this paper, we present a bidirectional Viterbi decoding algorithm using the Levenshtein distance metric for a regular…
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2003
2003
Map detection in noisy channels with synchronization errors (including the insertion/deletion channel)
W. Zeng
,
A. Kavcic
IEEE International Symposium on Information…
2003
Corpus ID: 61882340
In this paper, we consider the problem of mini- mizing the symbol error probability when detecting a sequence of symbols…
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