Chapter 3 The binary-input AWGN channel | Transmitting short packets over wireless channels—an information-theoretic perspective
Fundamental limitations on distillation of quantum channel resources | Nature Communications
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
Chapter 3 The binary-input AWGN channel | Transmitting short packets over wireless channels—an information-theoretic perspective
Holevo Capacity of Discrete Weyl Channels | Scientific Reports
Quantum-secure covert communication on bosonic channels | Nature Communications
Chapter 3 The binary-input AWGN channel | Transmitting short packets over wireless channels—an information-theoretic perspective
Holevo Capacity of Discrete Weyl Channels | Scientific Reports
Order Group Client Reviews | Clutch.co
PDF) Capacity Region of Two-users Weak Gaussian Interference Channel
Entropy | Free Full-Text | Robust Signaling for Bursty Interference | HTML
Converse to the Noisy Channel Coding Theorem | Open Textbooks for Hong Kong
Entropy | Free Full-Text | Asymptotic Capacity Results on the Discrete-Time Poisson Channel and the Noiseless Binary Channel with Detector Dead Time | HTML
Binary symmetric channel - Wikipedia
Chapter 3 The binary-input AWGN channel | Transmitting short packets over wireless channels—an information-theoretic perspective
Versatile relative entropy bounds for quantum networks - IOPscience
Channel capacity - Wikipedia
Versatile relative entropy bounds for quantum networks - IOPscience
Entropy | Free Full-Text | Asymptotic Capacity Results on the Discrete-Time Poisson Channel and the Noiseless Binary Channel with Detector Dead Time | HTML
Data Transmission and Channel Capacity | SpringerLink
Channel Output - an overview | ScienceDirect Topics
Holevo Capacity of Discrete Weyl Channels | Scientific Reports
Transmission over noisy channels. Channel capacity, Shannon's theorem. - ppt download
Data Transmission and Channel Capacity | SpringerLink
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) The Gaussian wire-tap channel
