Imagen de Portada

A divide-and-conquer approach for sparse recovery of high dimensional signals

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bevelander, Aron, Batselier, Kim, Myers, Nitin Jonathan
Formato:	Preprint
Publicado:	2024
Materias:	Signal Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

An Energy-efficient Ordered Transmission-based Sequential Estimation
por: Quan, Chen, et al.
Publicado: (2025)

InFocus: A spatial coding technique to mitigate misfocus in near field LoS beamforming
por: Myers, Nitin Jonathan, et al.
Publicado: (2020)

Circulant Shift-based Beamforming for Secure Communication with Low-resolution Phased Arrays
por: Patel, Kartik, et al.
Publicado: (2021)

Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar
por: Kumari, Preeti, et al.
Publicado: (2020)

Constructing structured tensor priors for Bayesian inverse problems
por: Batselier, Kim
Publicado: (2024)

Reduction of motion artifacts from photoplethysmography signals using learned convolutional sparse coding
por: Basso, Giulio, et al.
Publicado: (2025)

Eigenmatrix for unstructured sparse recovery
por: Ying, Lexing
Publicado: (2023)

A theory of optimal convex regularization for low-dimensional recovery
por: Traonmilin, Yann, et al.
Publicado: (2021)

Sample entropy for graph signals: An approach to nonlinear analysis of graph signals
por: Lei, Mei-San Maggie, et al.
Publicado: (2026)

Towards optimal algorithms for the recovery of low-dimensional models with linear rates
por: Traonmilin, Yann, et al.
Publicado: (2024)

Adaptive optical signal-to-noise ratio recovery for long-distance optical fiber transmission
por: Zhu, Mingwen, et al.
Publicado: (2024)

ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms
por: Lence, Alex, et al.
Publicado: (2024)

Deep Learning-based Compressive Beam Alignment in mmWave Vehicular Systems
por: Wang, Yuyang, et al.
Publicado: (2021)

Sensor placement for sparse force reconstruction
por: Lee, Jeunghoon
Publicado: (2025)

A frame-theoretic two-dimensional multi-window graph fractional Fourier transform for product graph signal analysis
por: Shang, Linbo
Publicado: (2026)

Learning to Localize with Attention: from sparse mmWave channel estimates from a single BS to high accuracy 3D location
por: Chen, Yun, et al.
Publicado: (2023)

pyPCG: A Python Toolbox Specialized for Phonocardiography Analysis
por: Müller, Kristóf, et al.
Publicado: (2024)

Detection of presence and number of persons by a Wi-Fi signal: a practical RSSI-based approach
por: Jukić, Dario, et al.
Publicado: (2023)

Densify & Conquer: Densified, smaller base-stations can conquer the increasing carbon footprint problem in nextG wireless
por: Gupta, Agrim, et al.
Publicado: (2024)

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

Sample entropy for graph signals: An approach to nonlinear dynamic analysis of data on networks
por: Lei, Mei-San Maggie, et al.
Publicado: (2026)

Improving DCE-MRI through unfolded low-rank + sparse optimisation
por: Mokrý, Ondřej, et al.
Publicado: (2023)

Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
por: Krones, Felix H., et al.
Publicado: (2024)

Unleashing Sensor-Aided Environment Awareness for Beam Management in Beyond-5G Networks: An OpenAirInterface Experimental Platform
por: Schott, Aron, et al.
Publicado: (2025)

A transversality theorem for semi-algebraic sets with application to signal recovery from the second moment and cryo-EM
por: Bendory, Tamir, et al.
Publicado: (2024)

Equivariance-based self-supervised learning for audio signal recovery from clipped measurements
por: Sechaud, Victor, et al.
Publicado: (2024)

Exact local recovery for Chemical Shift Imaging
por: Arrieta, Cristobal, et al.
Publicado: (2025)

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
por: Moulaeifard, Mohammad, et al.
Publicado: (2025)

A method for signal components identification in acoustic signal with non-Gaussian background noise using clustering of data in time-frequency domain
por: Drewnicka, A, et al.
Publicado: (2025)

Signal-adapted decomposition of graph signals
por: Behjat, Harry H., et al.
Publicado: (2025)

Extension of compressive sampling to binary vector recovery for model-based defect imaging
por: Li, Wei-Chen, et al.
Publicado: (2024)

Design of a compact low loss 2-way millimetre wave power divider for future communication
por: Saeed, Muhammad Asfar, et al.
Publicado: (2025)

CycloDSP: A cyclostationary signal analysis tool for GNU Radio
por: Darsena, Donatella, et al.
Publicado: (2024)

On the normalized signal to noise ratio in covariance estimation
por: Diskin, Tzvi, et al.
Publicado: (2024)

Time and covariance smoothing for restoration of bivariate signals
por: Pilavci, Yusuf Yigit, et al.
Publicado: (2025)

Efficient compressive sensing for machinery vibration signals
por: Tounsi, Imen, et al.
Publicado: (2026)

Provable orbit recovery over SO(3) from the non-uniform second moment
por: Bendory, Tamir, et al.
Publicado: (2026)

Nuclear Atomic Norm for parametric estimation of sparse channels
por: Callejas-Ramos, Álvaro, et al.
Publicado: (2024)

A new data weighted averaging algorithm to reduce tones in the signal band
por: Laguna, Marta, et al.
Publicado: (2025)

DC is all you need: describing ReLU from a signal processing standpoint
por: Kechris, Christodoulos, et al.
Publicado: (2024)