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Linear Multiuser Receivers: Effective Interference, Effective Bandwidth and User Capacity
Near optimum error correcting coding and decoding: turbo-codes
The Ergodic Decomposition of Stationary Discrete Random Processes
Identification via channels
Hypothesis Testing with Communication Constraints
Algorithms for Sliding Block Codes-An Application of Symbolic Dynamics to Information Theory
A coding scheme for additive noise channels with feedback--I: No bandwidth constraint
A New Class of Linear Error Correcting Codes
Noiseless coding of correlated information sources
The rate-distortion function for source coding with side information at the decoder
Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels
Lower Bounds on the Probability of Error for Classical and Classical-Quantum Channels
Minimum Expected Distortion in Gaussian Layered Broadcast Coding with Successive Refinement
Universal hypothesis testing in the learning-limited regime
Optimal entropy estimation on large alphabets via best polynomial approximation
Fundamental Limits of Cooperation
The Quantum Reverse Shannon Theorem and Resource Tradeoffs for Simulating Quantum Channels
Actions can speak more clearly than words
Duality-Based Bounds on Channel Capacity
Error Control for Network Coding
Generalized Minimum Distance Decoding with Arbitrary Error/Erasure Tradeoff
Information Loss in Deterministic Systems
Cooperative Diversity in Wireless Networks: Algorithms and Architectures
Model-Centric Approach to Discrete-Time Signal Processing for Dense Wavelength-Division Multiplexing Systems
Recurrence and Waiting Times in Stationary Processes, and their Applications in Data Compression
Information Theoretic Methods in Probability and Statistics
Strengthened Monotonicity of Relative Entropy via Pinched Petz Recovery Map
Consistency Thresholds for the Planted Bisection Model
Quantum Blahut-Arimoto Algorithms
Approximate quantum Markov chains
Reed–Muller Codes Achieve Capacity on Erasure Channels
Multiple Support Recovery Using Very Few Measurements Per Sample