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Antagonistic histone post-translational modifications improve the fidelity of epigenetic inheritance - a Bayesian perspective. [PDF]
Prabhu BNB +3 more
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This paper finds the capacity of linear time-invariant systems observed in additive Gaussian noise through a memoryless erasure channel. This problem requires obtaining the asymptotic spectral distribution of a submatrix of a nonnegative definite Toeplitz matrix obtained by retaining each column/row independently and with identical probability. We show
Antonia M. Tulino +3 more
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Turbo Codes in Binary Erasure Channel
IEEE Transactions on Information Theory, 2008In this correspondence, the stopping set of turbo codes with iterative decoding in the binary erasure channel is defined. Block and bit erasure probabilities of turbo codes are studied by using the stopping set analysis. It is found that block and bit erasure probabilities of turbo codes with iterative decoding are higher than those with maximum ...
Rüdiger Urbanke, Richard E Blahut
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Channel Combining for Nonstationary Polarization on Erasure Channels
2021 IEEE International Symposium on Information Theory (ISIT), 2021The problem of channel polarization for an arbitrary sequence $\{W_{i}\}_{i=0}^{n-1}$ of $n$ independent channels, referred to as a nonstationary sequence of channels, is considered. Also, each of the channels is used only once for communication. We consider a general framework for polarization of non-stationary channels and aim at optimizing the ...
Hanwen Yao +3 more
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Capacity of the Erasure Shuffling Channel
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020Motivated by DNA-based data storage, we study the erasure shuffling channel. This channel takes as input multiple strings, which are passed through an erasure channel and then shuffled out of order. We show that the capacity of this channel, for a large set of channel parameters, is given by the capacity of the binary erasure channel, C BEC , minus a ...
Seiyun Shin +2 more
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Erasure adversarial wiretap channels
2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015In an erasure adversarial wiretap channel (eAWTP-channel), the adversary can select a fraction ρr of the codeword to read, and a fraction ρe of the codeword to erase. The model can be seen as an extension of the wiretap II model where the adversary not only selects its view of the transmitted word, but also can erase a fraction of the codeword.
Pengwei Wang 0006 +2 more
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Converting a q-ary Symmetric Channel into an Error-Erasure Channel with Erasure Marking
2021 9th International Electrical Engineering Congress (iEECON), 2021The ability to mark erasure precisely is useful for data communications. The concept of error locating vector of Vector Symbol Decoding (VSD) has been used to mark error positions. This paper proposes the idea of converting none or some errors to erasures to reduce the decoding complexity. If the number of erroneous symbols input to VSD is limited to x,
Usana Tuntoolavest +2 more
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Random Matrices and Codes for the Erasure Channel
Algorithmica, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chris Studholme, Ian F. Blake
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Optimal correlating transform for erasure channels
IEEE Signal Processing Letters, 2005In this letter, we derive a gradient-based algorithm for computing the optimal transform when coefficients are transmitted over an erasure channel whose statistics are known. The discrete transform introduces correlation among the coefficients with consequent performance improvement against losses.
ROMANO, Gianmarco +2 more
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Oversampled transforms for channels with erasures
Proceedings of the IEEE Information Theory Workshop, 2003Oversampled transforms are used to provide robustness against erasures. Oversampled DFT codes have already been studied for erasure channels Me IP networks. We propose oversampled DCT transforms called DCT codes for erasure channels. We show that DCT codes offer more flexibility in design as compared to DFT codes and for some cases, lesser average mean
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