Channel Coding Theorem (The most famous in IT) Channel Capacity; Problem: finding the maximum number of distinguishable signals for n uses of a communication. - ppt download
Channel Coding Theorem (The most famous in IT) Channel Capacity; Problem: finding the maximum number of distinguishable signals for n uses of a communication. - ppt download
Entropy | Free Full-Text | Distributed Hypothesis Testing over a Noisy Channel: Error-Exponents Trade-Off
Channel Coding Theorem (The most famous in IT) Channel Capacity; Problem: finding the maximum number of distinguishable signals for n uses of a communication. - ppt download
Advanced Optical Materials: Early View
Experiments on water injection in the Niigata gas field
PDF) Strong converse, feedback channel capacity and hypothesis testing
Channel Coding Theorem (The most famous in IT) Channel Capacity; Problem: finding the maximum number of distinguishable signals for n uses of a communication. - ppt download
Entropy region and convolution
An alternative proof for the capacity region of the degraded Gaussian MIMO broadcast channel
Biology | Free Full-Text | Intercellular Adhesion Molecule 1: More than a Leukocyte Adhesion Molecule
Entropy | Free Full-Text | Information Rates for Channels with Fading, Side Information and Adaptive Codewords
Lecture 11: Channel Coding Theorem: Converse Part 1 Recap: Communication Problem 2 Fano's Inequality
Lecture 11: Channel Coding Theorem: Converse Part 1 Recap: Communication Problem 2 Fano's Inequality
Fundamental limitations on distillation of quantum channel resources | Nature Communications
Coding and testing scheme for hypothesis testing over a MAC. | Download Scientific Diagram
Entropy | Free Full-Text | Sum Capacity for Single-Cell Multi-User Systems with M-Ary Inputs
Changing perspectives on how the permeation pathway through potassium channels is regulated - Black - 2021 - The Journal of Physiology - Wiley Online Library
ε-Capacity and Strong Converse for Channels with General State
Channel Coding Theorem (The most famous in IT) Channel Capacity; Problem: finding the maximum number of distinguishable signals for n uses of a communication. - ppt download
PDF) A Simple Converse Proof and a Unified Capacity Formula for Channels with Input Constraints
Channel Coding Theorem (The most famous in IT) Channel Capacity; Problem: finding the maximum number of distinguishable signals for n uses of a communication. - ppt download
Lecture 11: Channel Coding Theorem: Converse Part 1 Recap: Communication Problem 2 Fano's Inequality
PDF) On the strong converses for the quantum channel capacity theorems
AoD in the channel capacity for AF multihop transmission over... | Download Scientific Diagram
Quantum state majorization at the output of bosonic Gaussian channels | Nature Communications
Entropy | Free Full-Text | Asymptotic Capacity Results on the Discrete-Time Poisson Channel and the Noiseless Binary Channel with Detector Dead Time
