Cover Image

Compressive radio-interferometric sensing with random beamforming as rank-one signal covariance projections

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Leblanc, Olivier, Wiaux, Yves, Jacques, Laurent
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MROP: Modulated Rank-One Projections for compressive radio interferometric imaging
by: Leblanc, Olivier, et al.
Published: (2025)

Interferometric lensless imaging: rank-one projections of image frequencies with speckle illuminations
by: Leblanc, Olivier, et al.
Published: (2023)

The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness
by: Terris, Matthieu, et al.
Published: (2023)

HyperAIRI: a plug-and-play algorithm for precise hyperspectral image reconstruction in radio interferometry
by: Tang, Chao, et al.
Published: (2025)

R2D2 image reconstruction with model uncertainty quantification in radio astronomy
by: Aghabiglou, Amir, et al.
Published: (2024)

Far-field compressive ultrasound beamforming
by: Khetan, Nikunj, et al.
Published: (2026)

Toward a Robust R2D2 Paradigm for Radio-interferometric Imaging: Revisiting Deep Neural Network Training and Architecture
by: Aghabiglou, Amir, et al.
Published: (2025)

mach: ultrafast ultrasound beamforming
by: Guan, Charles, et al.
Published: (2026)

S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging
by: Tajja, A., et al.
Published: (2025)

CLEANing Cygnus A deep and fast with R2D2
by: Dabbech, Arwa, et al.
Published: (2023)

Compressed learning based onboard semantic compression for remote sensing platforms
by: Bhattacharjee, Protim, et al.
Published: (2024)

Random Features for Grassmannian Kernels
by: Delogne, Rémi, et al.
Published: (2025)

Cross-organ all-in-one parallel compressed sensing magnetic resonance imaging
by: Shi, Baoshun, et al.
Published: (2025)

Compressed sensing with a jackknife and a bootstrap
by: Tygert, Mark, et al.
Published: (2018)

Spatial Competition for Low-Complexity Learned Image Compression
by: Blard, Théophile, et al.
Published: (2026)

Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2
by: Chen, Yiwei, et al.
Published: (2024)

Optimization of Fractal Image Compression
by: Bagheritabar, Nastaran Pourshab Mohsen
Published: (2025)

Convolutional Transformer-Based Image Compression
by: Arezki, Bouzid, et al.
Published: (2024)

Semantics-Guided Generative Image Compression
by: Wu, Cheng-Lin, et al.
Published: (2025)

ED: Perceptually tuned Enhanced Compression Model
by: Philippe, Pierrick, et al.
Published: (2024)

Attack and Defense Analysis of Learned Image Compression
by: Zhu, Tianyu, et al.
Published: (2024)

Image Compression with Isotropic and Anisotropic Shepard Inpainting
by: Mohideen, Rahul Mohideen Kaja, et al.
Published: (2024)

On Efficient Neural Network Architectures for Image Compression
by: Zhang, Yichi, et al.
Published: (2024)

Structured Pruning and Quantization for Learned Image Compression
by: Hossain, Md Adnan Faisal, et al.
Published: (2025)

Diffusion Probabilistic Models for Compressive SAR Imaging
by: Pappas, Odysseas, et al.
Published: (2025)

An All-in-one Approach for Accelerated Cardiac MRI Reconstruction
by: Hamedani, Kian Anvari, et al.
Published: (2024)

Fractal Compressive Sensing
by: Lorenzana, Marlon Bran, et al.
Published: (2023)

AsymLLIC: Asymmetric Lightweight Learned Image Compression
by: Wang, Shen, et al.
Published: (2024)

Towards Backward-Compatible Continual Learning of Image Compression
by: Duan, Zhihao, et al.
Published: (2024)

Parameter-Efficient Instance-Adaptive Neural Video Compression
by: Yang, Hyunmo, et al.
Published: (2024)

Soft then Hard: Rethinking the Quantization in Neural Image Compression
by: Guo, Zongyu, et al.
Published: (2021)

Bounding Global and Local Compression Error of Signal Parameterizations
by: Nguyen, Quang Luong Nhat, et al.
Published: (2026)

Beyond Bjøntegaard: Limits of Video Compression Performance Comparisons
by: Herglotz, Christian, et al.
Published: (2022)

Exploring Autoregressive Vision Foundation Models for Image Compression
by: Phung, Huu-Tai, et al.
Published: (2025)

Quantized Decoder in Learned Image Compression for Deterministic Reconstruction
by: Koyuncu, Esin, et al.
Published: (2023)

Smooth optimization using global and local low-rank regularizers
by: Lobos, Rodrigo A., et al.
Published: (2025)

Efficient Image Compression Using Advanced State Space Models
by: Arezki, Bouzid, et al.
Published: (2024)

LiDAR Depth Map Guided Image Compression Model
by: Gnutti, Alessandro, et al.
Published: (2024)

Transformer-based Learned Image Compression for Joint Decoding and Denoising
by: Chen, Yi-Hsin, et al.
Published: (2024)

Universal End-to-End Neural Network for Lossy Image Compression
by: Arezki, Bouzid, et al.
Published: (2024)