WebFor a noisy channel, if X represents the input to the channel and Y represents the output of the channel, H ( X: Y) represents the average amount of information gained about the input X by ascertaining the value of the output Y. The capacity of a channel, C, is defined as the supremum of H ( X: Y) over all input distributions. WebChannels. A channel (X,Y,W) is used to denote a generic DMC with finite input alphabet X, finite output alphabet Y, and transition probability W(y x).
Zero error capacity under list decoding Semantic Scholar
WebAlthough noiseless quantum communication with a noisy quantum channel is one of the simplest and most natural communication tasks one can imagine for quantum … WebAbstract: The zero error capacity C 0 of a noisy channel is defined to be the least upper bound of rates at which it is possible to transmit information with zero probability of … mohulatsi attorneys inc
Classical Zero-Error Information Theory SpringerLink
WebStated by Claude Shannon in 1948, the theorem describes the maximum possible efficiency of error-correcting methods versus levels of noise interference and data corruption. … Web17 Oct 2012 · A discrete-time channel with independent additive Gaussian noise is used for information transmission. There is also a feedback channel with independent additive Gaussian noise, and the transmitter observes all outputs of the forward channel without delay via this feedback channel. Transmission of a nonexponential number of messages … WebThe quantum capacity \( \(\mathcal{Q}(\mathcal{N})\) \) of a quantum channel \( \(\mathcal{N}\) \) is the number of qubits per channel use that can be reliably transmitted via many noisy transmissions, where each transmission is modeled by \( \(\mathcal{N}\) \). Although noiseless quantum communication with a noisy quantum channel is one of the … mohu curve antennas maximize use