Results 101 to 110 of about 66,822 (262)
Eigenmatrix for unstructured sparse recovery
Applied and Computational Harmonic AnalysisThis note considers the unstructured sparse recovery problems in a general form. Examples include rational approximation, spectral function estimation, Fourier inversion, Laplace inversion, and sparse deconvolution. The main challenges are the noise in the sample values and the unstructured nature of the sample locations.
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Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
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The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing
Journal of Electrical and Computer Engineering, 2019 This paper proposes a novel sparsity adaptive simulated annealing algorithm to solve the issue of sparse recovery. This algorithm combines the advantage of the sparsity adaptive matching pursuit (SAMP) algorithm and the simulated annealing method in ...
Yangyang Li +3 more
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A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations
Results in Applied Mathematics, 2019 For the problem of sparse recovery, it is widely accepted that nonconvex minimizations are better than ℓ1 penalty in enhancing the sparsity of solution.
Hoang Tran, Clayton Webster
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Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
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Corrigendum: Sparse system identification of leptin dynamics in women with obesity
Frontiers in Endocrinology, 2022 Md. Rafiul Amin +5 more
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A Whole‐Head Finite Element Model for Electrical Neuromodulation via Visual Brain‐Machine Interfaces
Advanced Science, EarlyView.A multimodal, personalized head model is presented that integrates the entire visual pathway with surrounding tissues to simulate electrical stimulation of the optic nerve. In vivo validation in humans and goats, plus systematic component‐elimination analysis, demonstrates the high accuracy of the comprehensive model.
Shengjian Lu +12 more
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Sparse Signal Recovery With Side Information
, 2009 Publication in the conference proceedings of EUSIPCO, Glasgow, Scotland ...
Stankovic, V., Stankovic, L., Cheng, S.
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Advanced Science, EarlyView.A multimodal intravital imaging platform enables longitudinal tracking of human cortical organoids transplanted into chronic stroke lesions. By combining surgical microscopy, MRI, bioluminescence imaging, and two‐photon fluorescence microscopy, the platform captures graft placement, viability dynamics, and cellular‐scale morphology in vivo, offering a ...
Jinghui Wang +12 more
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Tensor-Based Match Pursuit Algorithm for MIMO Radar Imaging [PDF]
Radioengineering, 2018 In MIMO radar, existing sparse imaging algorithms commonly vectorize the receiving data, which will destroy the multi-dimension structure of signal and cause the algorithm performance decline.
P. Huang, X. Li, H. Wang
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