Results 61 to 70 of about 31,241 (250)

RMP: Reduced-set matching pursuit approach for efficient compressed sensing signal reconstruction

open access: yesJournal of Advanced Research, 2016
Compressed sensing enables the acquisition of sparse signals at a rate that is much lower than the Nyquist rate. Compressed sensing initially adopted ℓ1 minimization for signal reconstruction which is computationally expensive.
Michael M. Abdel-Sayed   +2 more
doaj   +1 more source

Natural Thresholding Algorithms for Signal Recovery With Sparsity

open access: yesIEEE Open Journal of Signal Processing, 2022
The algorithms based on the technique of optimal $k$-thresholding (OT) were recently proposed for signal recovery, and they are very different from the traditional family of hard thresholding methods.
Yun-Bin Zhao, Zhi-Quan Luo
doaj   +1 more source

Hierarchical restricted isometry property for Kronecker product measurements [PDF]

open access: yes2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2018
5 ...
Ingo Roth   +4 more
openaire   +3 more sources

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao   +4 more
wiley   +1 more source

3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications

open access: yesAdvanced Robotics Research, EarlyView.
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun   +3 more
wiley   +1 more source

A Simple Proof of the Restricted Isometry Property for Random Matrices [PDF]

open access: yesConstructive Approximation, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baraniuk, Richard   +3 more
openaire   +2 more sources

Finite element analysis of feeding in red and gray squirrels (Sciurus vulgaris and Sciurus carolinensis)

open access: yesThe Anatomical Record, EarlyView.
Abstract Invasive gray squirrels (Sciurus carolinensis) have replaced the native red squirrel (Sciurus vulgaris) across much of Great Britain over the last century. Several factors have been proposed to underlie this replacement, but here we investigated the potential for dietary competition in which gray squirrels have better feeding performance than ...
Philip G. Cox, Peter J. Watson
wiley   +1 more source

A Near-Optimal Restricted Isometry Condition of Multiple Orthogonal Least Squares

open access: yesIEEE Access, 2019
In this paper, we analyze the performance guarantee of multiple orthogonal least squares (MOLS) in recovering sparse signals. Specifically, we show that the MOLS algorithm ensures the accurate recovery of any K-sparse signal, provided that a sampling ...
Junhan Kim, Byonghyo Shim
doaj   +1 more source

A Novel Sparsity Adaptive Algorithm for Underwater Acoustic Signal Reconstruction

open access: yesSensors, 2022
In view of the fact that most of the traditional algorithms for reconstructing underwater acoustic signals from low-dimensional compressed data are based on known sparsity, a sparsity adaptive and variable step-size matching pursuit (SAVSMP) algorithm is
Na Li, Xinghui Yin, Haitao Li
doaj   +1 more source

An RIP-based approach to $\Sigma\Delta$ quantization for compressed sensing

open access: yes, 2014
In this paper, we provide a new approach to estimating the error of reconstruction from $\Sigma\Delta$ quantized compressed sensing measurements. Our method is based on the restricted isometry property (RIP) of a certain projection of the measurement ...
Feng, Joe-Mei, Krahmer, Felix
core   +1 more source

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