Results 221 to 230 of about 318,902 (264)
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Channel capacity of the ribosome

Physical Review E, 2023
Translation is one of the most fundamental processes in the biological cell. Because of the central role that translation plays across all domains of life, the enzyme that carries out this process, the ribosome, is required to process information with high accuracy. This accuracy often approaches values near unity experimentally.
Daniel A. Inafuku   +5 more
openaire   +2 more sources

On The Capacity Of A Cascade Of Channels

Proceedings. 1991 IEEE International Symposium on Information Theory, 1993
Summary: A class of information-theoretic problems is introduced that deal with systems in which information is transmitted through a series of noisy channels, with limited or no processing between channels. Some basic questions that arise in such systems are examined in detail.
Aaron B. Kiely, John T. Coffey
openaire   +1 more source

The capacity of noncoherent channels

1999 IEEE International Conference on Communications (Cat. No. 99CH36311), 2003
The capacity of a random-phase additive white Gaussian noise (AWGN) channel, referred to as noncoherent channel, is investigated in the case of a transmission of N information symbols. The non-Gaussianity of the capacity achieving distribution is shown and a lower bound on the channel capacity is derived.
Giulio Colavolpe, Riccardo Raheli
openaire   +1 more source

Sensitivity of channel capacity

IEEE Transactions on Information Theory, 1995
Summary: In some channels subject to crosstalk or other types of additive interference, the noise is the sum of a dominant Gaussian noise and a relatively weak non-Gaussian contaminating noise. Although the capacity of such channels cannot be evaluated in general, we analyze the decrease in capacity, or sensitivity of the channel capacity to the weak ...
Mark S. Pinsker   +2 more
openaire   +2 more sources

On the Capacity of Duplication Channels

IEEE Transactions on Communications, 2013
The i.i.d. duplication channel which duplicates each symbol independently with a certain probability is studied. The contribution is twofold: first, a tight lower bound on the capacity of such channels is introduced. Second, the capacity is computed for the small values of the duplication probability using a series expansion representation.
Mahdi Ramezani, Masoud Ardakani
openaire   +1 more source

The capacity of the noncoherent channel

European Transactions on Telecommunications, 2001
AbstractThe capacity of a random—phase additive white Gaussian noise (AWGN) channel, referred to as noncoherent channel, is investigated in the case of a transmission of N information symbols. The non—Gaussianity of die capacity—achieving distribution is shown and a lower bound on the channel capacity is derived.
Giulio Colavolpe, Riccardo Raheli
openaire   +2 more sources

ON CAPACITIES OF QUANTUM CHANNELS

2008
Summary: Capacities of quantum mechanical channels are defined in terms of mutual information quantities. Geometry of the relative entropy is used to express capacity as a divergence radius. The symmetric quantum spin 1/2 channel and the attenuation channel of Boson fields are discussed as examples.
Ohya, Masanori   +2 more
openaire   +2 more sources

On the Capacity of Generalized Ising Channels

IEEE Transactions on Information Theory, 2015
Nearly tight lower and upper bounds on the capacity of generalized Ising channels are presented. For the case where feedback is allowed, a closed-form expression for the capacity is found for channel error probability $ p\in [{0, p_{0}}]$ , where $ p_{0}\approx 0.398324$ .
Artyom Sharov, Ron M. Roth
openaire   +1 more source

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