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
Entropy | Free Full-Text | Asymptotic Capacity Results on the Discrete-Time Poisson Channel and the Noiseless Binary Channel with Detector Dead Time | HTML
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Wireless and Optical Channels Capacities | SpringerLink
Versatile relative entropy bounds for quantum networks - IOPscience
Channel Output - an overview | ScienceDirect Topics
Entropy | Free Full-Text | Robust Signaling for Bursty Interference | HTML
PDF) Capacity Region of Two-users Weak Gaussian Interference Channel
Holevo Capacity of Discrete Weyl Channels | Scientific Reports
Chapter 3 The binary-input AWGN channel | Transmitting short packets over wireless channels—an information-theoretic perspective
A Review of Transmission Rate over Wireless Fading Channels: Classifications, Applications, and Challenges | SpringerLink
PDF) Capacity Region of Two-users Weak Gaussian Interference Channel
Channel capacity - Wikipedia
Weak Converse to the Channel Coding Theorem for DMC
Binary symmetric channel - Wikipedia
Chapter 3 The binary-input AWGN channel | Transmitting short packets over wireless channels—an information-theoretic perspective
Entropy | Free Full-Text | Robust Signaling for Bursty Interference | HTML
Holevo Capacity of Discrete Weyl Channels | Scientific Reports
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Transmission over noisy channels. Channel capacity, Shannon's theorem. - ppt download
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Entropy | Free Full-Text | Asymptotic Capacity Results on the Discrete-Time Poisson Channel and the Noiseless Binary Channel with Detector Dead Time | HTML
Quantum-secure covert communication on bosonic channels | 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
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
Entropy | Free Full-Text | Robust Signaling for Bursty Interference | HTML
