Image de couverture de livre

Data-Driven Estimation of Capacity Upper Bounds

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Häger, Christian, Agrell, Erik
Format:	Preprint
Publié:	2022
Sujets:	Information Theory Machine Learning Signal Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
par: Gümüs, Kadir, et autres
Publié: (2019)

Capacity Bounds under Imperfect Polarization Tracking
par: Farsi, Mohammad, et autres
Publié: (2021)

PIDT: Physics-Informed Digital Twin for Optical Fiber Parameter Estimation
par: Jiang, Zicong, et autres
Publié: (2026)

Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
par: Schmid, Luca, et autres
Publié: (2024)

On the Capacity of Correlated Phase-Noise Channels: An Electro-Optic Frequency Comb Example
par: Farsi, Mohammad, et autres
Publié: (2024)

Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
par: Chatelier, Baptiste, et autres
Publié: (2024)

Hierarchical Distribution Matching for Probabilistically Shaped Coded Modulation
par: Yoshida, Tsuyoshi, et autres
Publié: (2018)

Mutual Information Estimation via $f$-Divergence and Data Derangements
par: Letizia, Nunzio A., et autres
Publié: (2023)

Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis
par: Yi, Yongwei, et autres
Publié: (2026)

A Measurement Report Data-Driven Framework for Localized Statistical Channel Modeling
par: Qin, Xinyu, et autres
Publié: (2025)

Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise
par: Karanov, Boris, et autres
Publié: (2024)

Channel Modeling for FR3 Upper Mid-band via Generative Adversarial Networks
par: Hu, Yaqi, et autres
Publié: (2024)

Fault Detection and Monitoring using a Data-Driven Information-Based Strategy: Method, Theory, and Application
par: Ramírez, Camilo, et autres
Publié: (2024)

Post-FEC BER Benchmarking for Bit-Interleaved Coded Modulation with Probabilistic Shaping
par: Yoshida, Tsuyoshi, et autres
Publié: (2019)

Compressed Shaping: Concept and FPGA Demonstration
par: Yoshida, Tsuyoshi, et autres
Publié: (2021)

Sensor Design for Accuracy-Bounded Estimation via Maximum-Entropy Likelihood Synthesis
par: Bhattacharya, Raktim
Publié: (2026)

Direction of Arrival Estimation with Sparse Subarrays
par: Leite, W., et autres
Publié: (2024)

Leveraging Variational Autoencoders for Parameterized MMSE Estimation
par: Baur, Michael, et autres
Publié: (2023)

On the Performance under Hard and Soft Bitwise Mismatched-Decoding
par: Yoshida, Tsuyoshi, et autres
Publié: (2020)

Performance Monitoring for Live Systems with Soft FEC and Multilevel Modulation
par: Yoshida, Tsuyoshi, et autres
Publié: (2019)

DM-SBL: Channel Estimation under Structured Interference
par: Wang, Yifan, et autres
Publié: (2024)

Enhancing Channel Estimation in Quantized Systems with a Generative Prior
par: Fesl, Benedikt, et autres
Publié: (2024)

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion
par: Li, Dongxu, et autres
Publié: (2024)

Transformer-Driven Neural Beamforming with Imperfect CSI in Urban Macro Wireless Channels
par: Vahapoglu, Cemil, et autres
Publié: (2025)

Algebraic Diversity: Group-Theoretic Spectral Estimation from Single Observations
par: Thornton, Mitchell A.
Publié: (2026)

Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization
par: Lei, Haozhe, et autres
Publié: (2025)

Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems
par: Zhao, Junjie, et autres
Publié: (2026)

Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators
par: Dhara, Prasenjit, et autres
Publié: (2026)

Robust Blind Channel Estimation for Bursty Impulsive Noise with a Constrained EM Approach
par: Chen, Chin-Hung, et autres
Publié: (2025)

DRL-AdaPart: DRL-Driven Adaptive STAR-RIS Partitioning for Fair and Frugal Resource Utilization
par: Kumar, Ashok S., et autres
Publié: (2024)

DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction
par: Greidi, Ran, et autres
Publié: (2026)

Single-Snapshot Gridless 2D-DoA Estimation for UCAs: A Joint Optimization Approach
par: Nouri, Salar
Publié: (2025)

Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Information
par: Jin, Zhenzhou, et autres
Publié: (2025)

dreaMLearning: Data Compression Assisted Machine Learning
par: Zhao, Xiaobo, et autres
Publié: (2025)

Exponentially Consistent Nonparametric Linkage-Based Clustering of Data Sequences
par: Singh, Bhupender, et autres
Publié: (2024)

Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment
par: Yang, Yi-Jen, et autres
Publié: (2024)

Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data
par: Liu, Jinxin, et autres
Publié: (2024)

Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices
par: Farsi, Mohammad, et autres
Publié: (2024)

Time-series Random Process Complexity Ranking Using a Bound on Conditional Differential Entropy
par: Ayers, Jacob, et autres
Publié: (2025)

Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
par: Guo, Jiajia, et autres
Publié: (2022)