Cover Image

Localization from structured distance matrices via low-rank matrix recovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lichtenberg, Samuel, Tasissa, Abiy
Format:	Preprint
Published:	2023
Subjects:	Information Theory Machine Learning Robotics Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discriminative reconstruction via simultaneous dense and sparse coding
by: Tasissa, Abiy, et al.
Published: (2020)

Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing
by: Abbasi, Ahmed, et al.
Published: (2022)

A dual basis approach to multidimensional scaling
by: Lichtenberg, Samuel, et al.
Published: (2023)

K-Deep Simplex: Deep Manifold Learning via Local Dictionaries
by: Tankala, Pranay, et al.
Published: (2020)

Weighed l1 on the simplex: Compressive sensing meets locality
by: Tasissa, Abiy, et al.
Published: (2021)

Robust Node Localization for Rough and Extreme Deployment Environments
by: Tasissa, Abiy, et al.
Published: (2025)

Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations
by: Mueller, Marshall, et al.
Published: (2024)

Shift-Invariant Feature Attribution in the Application of Wireless Electrocardiograms
by: Getnet, Yalemzerf, et al.
Published: (2026)

Eigenmatrix for unstructured sparse recovery
by: Ying, Lexing
Published: (2023)

CSI Obfuscation: Single-Antenna Transmitters Can Not Hide from Adversarial Multi-Antenna Radio Localization Systems
by: Stephan, Phillip, et al.
Published: (2025)

Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization
by: Lei, Haozhe, et al.
Published: (2025)

A Measurement Report Data-Driven Framework for Localized Statistical Channel Modeling
by: Qin, Xinyu, et al.
Published: (2025)

Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators
by: Dhara, Prasenjit, et al.
Published: (2026)

Novel Gradient Sparsification Algorithm via Bayesian Inference
by: Bereyhi, Ali, et al.
Published: (2024)

Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization
by: Luo, Yuetian, et al.
Published: (2021)

Mutual Information Estimation via $f$-Divergence and Data Derangements
by: Letizia, Nunzio A., et al.
Published: (2023)

Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
by: Zhang, Yunchuan, et al.
Published: (2023)

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
by: Guo, Mingzhao, et al.
Published: (2024)

Cell-Free Multi-User MIMO Equalization via In-Context Learning
by: Zecchin, Matteo, et al.
Published: (2024)

Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
by: Puranik, Bhagyashree, et al.
Published: (2023)

Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
by: Asaad, Saba, et al.
Published: (2026)

Age-Aware Edge-Blind Federated Learning via Over-the-Air Aggregation
by: Elshazly, Ahmed M., et al.
Published: (2026)

A Dual Basis Approach for Structured Robust Euclidean Distance Geometry
by: Kundu, Chandra, et al.
Published: (2025)

Structured Sampling for Robust Euclidean Distance Geometry
by: Kundu, Chandra, et al.
Published: (2024)

Channel Modeling for FR3 Upper Mid-band via Generative Adversarial Networks
by: Hu, Yaqi, et al.
Published: (2024)

Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning
by: Fang, Wenzhi, et al.
Published: (2023)

Three-dimensional signal processing: a new approach in dynamical sampling via tensor products
by: Wang, Yisen, et al.
Published: (2025)

Reconfigurable Intelligent Surface for Internet of Robotic Things
by: Ni, Wanli, et al.
Published: (2024)

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels
by: Liang, Guangming, et al.
Published: (2025)

Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS
by: Yang, Ke, et al.
Published: (2024)

Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
by: Wen, Haifeng, et al.
Published: (2024)

Sketching sparse low-rank matrices with near-optimal sample- and time-complexity using message passing
by: Liu, Xiaoqi, et al.
Published: (2022)

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

Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning
by: Nawaz, Muhammad Wasim, et al.
Published: (2024)

Decentralized Conformal Novelty Detection via Quantized Model Exchange
by: Loh, Kyle, et al.
Published: (2026)

Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection
by: Takabe, Satoshi, et al.
Published: (2023)

Optimal vintage factor analysis with deflation varimax
by: Bing, Xin, et al.
Published: (2023)

QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models
by: Meng, Xiangming, et al.
Published: (2023)

Automatic Regularization for Linear MMSE Filters
by: Zanco, Daniel Gomes de Pinho, et al.
Published: (2023)

Model-free Reinforcement Learning of Semantic Communication by Stochastic Policy Gradient
by: Beck, Edgar, et al.
Published: (2023)