It is known that for a discrete channel with correlated additive noise, the ordinary capacity with or without feedback both equal log q−H(Z), where H(Z)is the entropy rate of the noise process Z and q is the alphabet size. In this paper, a class of finite-state additive noise channels is introduced. It is shown that the zero-error feedback capacity of such channels is either zero or C 0 f = log q - h(Z), where h(Z) is the topological entropy of the noise process. Moreover, the zero-error capacity without feedback is lower-bounded by log q - 2h(Z). We explicitly compute the zero-error feedback capacity for several examples, including channels with isolated errors and a Gilbert-Elliot channel
Abstract—The capacity region of the finite-state multiple-access channel (FS-MAC) with feedback that...
Abstract—The capacity region of the finite-state multiple-access channel (FS-MAC) with feedback that...
The input-constrained erasure channel with feedback is considered, where the binary input sequence c...
This article studies the zero-error feedback capacity of {\em causal} discrete channels with memory....
© 2021 Amir SaberiIn this thesis, we investigate state estimation and stabilization of linear system...
We consider discrete channels with arbitrary additive noise. Note that such channels need not be mem...
Abstract — We show that the zero-undetected-error capacity (a.k.a. erasures-only capacity and zero-e...
We consider discrete channels with stationary additive noise. We show that output feedback does not ...
Abstract — This work addresses the feedback capacity of compound channels with memory. We provide an...
The zero error decision feedback capacity for discrete memoryless channels is found using a constant...
We initiate the study of zero-error communication via quantum channels when the receiver and the sen...
A coding theorem is proved for memoryless channels when the channel state feedback of finite cardina...
The utility of limited feedback for coding over an individual sequence of discrete memoryless channe...
A coding theorem is proved for memoryless channels when the channel state feedback of finite cardina...
Abstract — For a stationary additive Gaussian-noise channel with a rational noise power spectrum of ...
Abstract—The capacity region of the finite-state multiple-access channel (FS-MAC) with feedback that...
Abstract—The capacity region of the finite-state multiple-access channel (FS-MAC) with feedback that...
The input-constrained erasure channel with feedback is considered, where the binary input sequence c...
This article studies the zero-error feedback capacity of {\em causal} discrete channels with memory....
© 2021 Amir SaberiIn this thesis, we investigate state estimation and stabilization of linear system...
We consider discrete channels with arbitrary additive noise. Note that such channels need not be mem...
Abstract — We show that the zero-undetected-error capacity (a.k.a. erasures-only capacity and zero-e...
We consider discrete channels with stationary additive noise. We show that output feedback does not ...
Abstract — This work addresses the feedback capacity of compound channels with memory. We provide an...
The zero error decision feedback capacity for discrete memoryless channels is found using a constant...
We initiate the study of zero-error communication via quantum channels when the receiver and the sen...
A coding theorem is proved for memoryless channels when the channel state feedback of finite cardina...
The utility of limited feedback for coding over an individual sequence of discrete memoryless channe...
A coding theorem is proved for memoryless channels when the channel state feedback of finite cardina...
Abstract — For a stationary additive Gaussian-noise channel with a rational noise power spectrum of ...
Abstract—The capacity region of the finite-state multiple-access channel (FS-MAC) with feedback that...
Abstract—The capacity region of the finite-state multiple-access channel (FS-MAC) with feedback that...
The input-constrained erasure channel with feedback is considered, where the binary input sequence c...