Sign Up to like & get
recommendations!
1
Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29442
Abstract: To develop an efficient algorithm for multicomponent MR fingerprinting (MC‐MRF) reconstructions directly from highly undersampled data without making prior assumptions about tissue relaxation times and expected number of tissues.
read more here.
Keywords:
sparsity low;
multicomponent fingerprinting;
reconstruction using;
using joint ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3029194
Abstract: It is always a serious challenge to deal with the influence of noise for fault detection of rotating electrical machines under varying operating environments. To extract the most discriminative features for machine fault classification, a…
read more here.
Keywords:
collaboration preserving;
preserving projections;
joint sparsity;
sparsity collaboration ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3222313
Abstract: This work presents a free-breathing dynamic contrast-enhanced (DCE) MRI reconstruction method called low-rank plus sparse (L+S) with joint sparsity. The proposed method improved dynamic contrast performance by integrating an additional temporal Fast Fourier Transform (FFT)…
read more here.
Keywords:
sparsity;
method;
dynamic contrast;
contrast enhanced ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3072356
Abstract: The seismic data regularization problem is vital to seismic data processing. We propose a joint sparsity-promotion method based on the compressive sensing theory named the curvelet-data-driven-tight-frame-based sparsity-promoting (CDSP) method. The CDSP method regularizes the seismic…
read more here.
Keywords:
method;
sparsity;
nonequispaced grid;
joint sparsity ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3039046
Abstract: Different image fusion systems have been developed to deal with the massive amounts of image data for different applications, such as remote sensing, computer vision, and environment monitoring. However, the generalizability and versatility of these…
read more here.
Keywords:
image;
joint sparsity;
fusion multitemporal;
fusion ... See more keywords