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Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29261
Abstract: Deep learning (DL) based reconstruction using unrolled neural networks has shown great potential in accelerating MRI. However, one of the major drawbacks is the loss of high‐frequency details and textures in the output. The purpose…
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Keywords:
high frequency;
space kernel;
space;
null space ... See more keywords
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1
Published in 2019 at "Experimental Brain Research"
DOI: 10.1007/s00221-019-05486-2
Abstract: The presence of motor redundancy means that movement variability can be split into a ‘task-space’ component that affects task performance, and a ‘null space’ component which has no effect on task performance. While the control…
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Keywords:
task;
task difficulty;
variability;
space variability ... See more keywords
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Published in 2018 at "Mechatronics"
DOI: 10.1016/j.mechatronics.2018.09.005
Abstract: Abstract In this paper, a new approach for dealing with multiple tracking tasks during physical interaction is proposed. By using this method, multiple tasks are accomplished based on the assigned priority in addition to a…
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Keywords:
space;
tracking task;
control;
hierarchical tracking ... See more keywords
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Published in 2025 at "Electronics Letters"
DOI: 10.1049/ell2.70457
Abstract: This paper proves that when the measurement matrix satisfies the ‐ null space property of order , the ‐minimization model can accurately recover any sparse vector. In addition, this paper proves that when the measurement…
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Keywords:
null space;
sparse vector;
minimization;
space ... See more keywords
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Published in 2025 at "International Journal of Control"
DOI: 10.1080/00207179.2025.2463568
Abstract: The benchmark consensus protocol is used by the most notable distributed algorithms for controlling multiagent systems through local interaction rules, where it yields to the well-known Laplacian matrix whose null space is fixed and is…
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Keywords:
null space;
multiagent systems;
laplacian matrix;
space ... See more keywords
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Published in 2024 at "Physica Scripta"
DOI: 10.1088/1402-4896/ad6512
Abstract: Human-redundant robot contact interaction control based on joint current is conducted. This is a sensorless control method. The key issues involved are dynamic parameters identification and interaction control strategy of robot. Firstly, kinematics model and…
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Keywords:
control;
robot;
null space;
interaction control ... See more keywords
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0
Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3579422
Abstract: With the increasing use of AI in radar signal processing, researchers have started combining minimum variance distortionless response (MVDR) with AI technology; however, the use of MVDR results in higher nonlinearity, making the learning process…
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Keywords:
space beamforming;
anti jamming;
robust anti;
radar systems ... See more keywords
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Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3588045
Abstract: A robot with kinematical redundancy with respect to a main task may perform additional tasks simultaneously with the main one. Often, it is desirable to prioritize the performance of some tasks over that of others.…
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Keywords:
energy tank;
energy;
performance;
null space ... See more keywords
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Published in 2019 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2018.2877673
Abstract: In identification of dynamical systems, the prediction error method with a quadratic cost function provides asymptotically efficient estimates under Gaussian noise, but in general it requires solving a nonconvex optimization problem, which may imply convergence…
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Keywords:
null space;
space fitting;
weighted null;
model ... See more keywords
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1
Published in 2020 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2020.2979034
Abstract: The least mean squares (LMS) filter is one of the most important adaptive filters used in digital signal processing applications. We present a performance improvement method for LMS filters based on null space projection. The…
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Keywords:
performance;
null space;
lms filters;
space projection ... See more keywords
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3
Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3217585
Abstract: In this article, the time-varying formation control problem with collision avoidance is addressed for uncertain nonlinear second-order multiagent systems in a null-space-based behavioral control architecture. To guarantee the tracking and coordination performance simultaneously, a novel…
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Keywords:
time;
null space;
collision;
varying formation ... See more keywords