Results 51 to 60 of about 31,241 (250)
RIP Sensing Matrices Construction for Sparsifying Dictionaries with Application to MRI Imaging
SignalsPractical applications of compressed sensing often restrict the choice of its two main ingredients. They may (i) prescribe the use of particular redundant dictionaries for certain classes of signals to become sparsely represented or (ii) dictate specific
Jinn Ho +2 more
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IEEE Photonics Journal, 2017 This work investigates the security of optical ciphers integrating compressed sensing (CS) with double random phase encoding. Theoretical analysis demonstrates that the combined system, regardless of the implementation order of the two procedures, can be
Junxin Chen, Yushu Zhang, Leo Yu Zhang
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Active Users Detection Based on Orthogonal Least Squares
IEEE Access, 2020 The Internet of Things (IoT) is the network of numerous physical users that are able to gather and share electronic information with each other. One of the main challenges of IoT is to detect the active users. We first employ the orthogonal least squares
Junxiao Zhou, Guangquan Cheng
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EURASIP Journal on Advances in Signal Processing, 2021 The interrupted transmitting and receiving (ITR) can be used in anechoic chamber to solve the coupling between the transmitted and reflected signals. When the ITR periods are random, the fake peaks in high-resolution range profile (HRRP) of ITR echo can ...
Xiaobin Liu +3 more
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An Improved Lower Bound for Sparse Reconstruction from Subsampled Hadamard Matrices
, 2019 We give a short argument that yields a new lower bound on the number of subsampled rows from a bounded, orthonormal matrix necessary to form a matrix with the restricted isometry property. We show that a matrix formed by uniformly subsampling rows of an $
Błasiok, Jarosław +4 more
core +1 more source
Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
New Bounds Based on RIP for the Sparse Matrix Recovery via the Weighted
IEEE Access, 2019 In this paper, we consider using the weighted ℓ2,1 minimization to reconstruct X from Y = AX + Z. This method has been applied to recover multichannel signal in resent years since it exploits both the interchannel correlation and multisource prior.
Huanmin Ge, Run Cao
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Heavy-Ball-Based Hard Thresholding Pursuit for Sparse Phase Retrieval Problems
Mathematics, 2023 We introduce a novel iterative algorithm, termed the Heavy-Ball-Based Hard Thresholding Pursuit for sparse phase retrieval problem (SPR-HBHTP), to reconstruct a sparse signal from a small number of magnitude-only measurements.
Yingying Li +3 more
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Restricted Isometry Property under High Correlations
CoRR, 2019 30 pages, fixed minor ...
Shiva Prasad Kasiviswanathan +1 more
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TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source