Imagen de Portada

Generalized Graph Signal Sampling by Difference-of-Convex Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yamashita, Keitaro, Naganuma, Kazuki, Ono, Shunsuke
Formato:	Preprint
Publicado:	2023
Materias:	Signal Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Sampling Method for Generalized Graph Signals with Pre-selected Vertices via DC Optimization
por: Yamashita, Keitaro, et al.
Publicado: (2025)

Robust Time-Varying Graph Signal Recovery for Dynamic Physical Sensor Network Data
por: Yamagata, Eisuke, et al.
Publicado: (2022)

Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping
por: Takemoto, Shingo, et al.
Publicado: (2024)

Efficient Constrained Signal Reconstruction by Randomized Epigraphical Projection
por: Ono, Shunsuke
Publicado: (2018)

Robust Spatiotemporal Fusion of Satellite Images: A Constrained Convex Optimization Approach
por: Isono, Ryosuke, et al.
Publicado: (2023)

Sparsity-Enhanced Multilayered Non-Convex Regularization with Epigraphical Relaxation for Debiased Signal Recovery
por: Katsuma, Akari, et al.
Publicado: (2024)

Introducing Graph Learning over Polytopic Uncertain Graph
por: Kishida, Masako, et al.
Publicado: (2024)

Towards Robust Hyperspectral Unmixing: Mixed Noise Modeling and Image-Domain Regularization
por: Naganuma, Kazuki, et al.
Publicado: (2023)

Geometric Spatio-Spectral Total Variation for Hyperspectral Image Denoising and Destriping
por: Takemoto, Shingo, et al.
Publicado: (2025)

Robust Foreground-Background Separation for Severely-Degraded Videos Using Convolutional Sparse Representation Modeling
por: Naganuma, Kazuki, et al.
Publicado: (2025)

Efficient and Accurate Full-Waveform Inversion with Total Variation Constraint
por: Inada, Yudai, et al.
Publicado: (2025)

On the Invariance of Cross-Correlation Peak Positions Under Monotonic Signal Transformations, with Application to Fast Time Difference Estimation
por: Ueno, Natsuki, et al.
Publicado: (2025)

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery
por: Dabush, Lital, et al.
Publicado: (2025)

Online Signed Sampling of Bandlimited Graph Signals
por: Liu, Wenwei, et al.
Publicado: (2024)

Device-free Indoor WLAN Localization with Distributed Antenna Placement Optimization and Spatially Localized Regression
por: Muta, Osamu, et al.
Publicado: (2024)

The Comparison of Riemannian Geometric Matrix-CFAR Signal Detectors
por: Ono, Yusuke, et al.
Publicado: (2024)

Edge Sampling of Graphs: Graph Signal Processing Approach With Edge Smoothness
por: Yanagiya, Kenta, et al.
Publicado: (2024)

Incremental Averaging Method to Improve Graph-Based Time-Difference-of-Arrival Estimation
por: Brümann, Klaus, et al.
Publicado: (2025)

Subset Random Sampling of Finite Time-vertex Graph Signals
por: Sheng, Hang, et al.
Publicado: (2024)

Sampling Theory of Jointly Bandlimited Time-vertex Graph Signals
por: Sheng, Hang, et al.
Publicado: (2025)

Dynamic Sensor Placement Based on Sampling Theory for Graph Signals
por: Nomura, Saki, et al.
Publicado: (2022)

Temporally-Similar Structure-Aware Spatiotemporal Fusion of Satellite Images
por: Isono, Ryosuke, et al.
Publicado: (2025)

Comprehensive Robust Dynamic Mode Decomposition from Mode Extraction to Dimensional Reduction
por: Nakamura, Yuki, et al.
Publicado: (2026)

Subset Random Sampling and Reconstruction of Finite Time-Vertex Graph Signals
por: Sheng, Hang, et al.
Publicado: (2025)

On Random Sampling of Diffused Graph Signals with Sparse Inputs on Vertex Domain
por: Lai, Yingcheng, et al.
Publicado: (2024)

Detecting Low Pass Graph Signals via Spectral Pattern: Sampling Complexity and Applications
por: Zhang, Chenyue, et al.
Publicado: (2023)

Graph-Based Signal Sampling with Adaptive Subspace Reconstruction for Spatially-Irregular Sensor Data
por: Pakiyarajah, Darukeesan, et al.
Publicado: (2024)

Generalized Graph Signal Reconstruction via the Uncertainty Principle
por: Zhao, Yanan, et al.
Publicado: (2024)

Generating Correlation Matrices with Graph Structures Using Convex Optimization
por: Fakhar, Ali, et al.
Publicado: (2025)

One-Point Sampling for Distributed Bandit Convex Optimization with Time-Varying Constraints
por: Zhang, Kunpeng, et al.
Publicado: (2025)

Verifying the Smoothness of Graph Signals: A Graph Signal Processing Approach
por: Dabush, Lital, et al.
Publicado: (2023)

Modeling Sparse Graph Sequences and Signals Using Generalized Graphons
por: Ji, Feng, et al.
Publicado: (2023)

Reinforcing Localization Credibility Through Convex Optimization
por: Tomic, Slavisa, et al.
Publicado: (2025)

Batch SLAM with PMBM Data Association Sampling and Graph-Based Optimization
por: Ge, Yu, et al.
Publicado: (2024)

On the Impact of Downstream Tasks on Sampling and Reconstructing Noisy Graph Signals
por: Sripathmanathan, Baskaran, et al.
Publicado: (2025)

Dilated POCS: Minimax Convex Optimization
por: Yu, Albert R., et al.
Publicado: (2022)

On Sampling of Multiple Correlated Stochastic Signals
por: Jin, Lin, et al.
Publicado: (2025)

Exploiting Symmetric Non-Convexity for Multi-Objective Symbol-Level DFRC Signal Design
por: Nguyen, Ly V., et al.
Publicado: (2025)

Blind Graph Matching Using Graph Signals
por: Liu, Hang, et al.
Publicado: (2023)

Graph Signal Generative Diffusion Models
por: Uslu, Yigit Berkay, et al.
Publicado: (2025)