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Found 11 papers, 0 papers with code
Insomnia impairs muscle function via regulating protein degradation and muscle clock
The grip strength reduced in SD group.
Lipschitz Learning for Signal Recovery
We will develop a theoretical framework to characterize the signals that can be robustly recovered from their observations by an ML algorithm, and establish a Lipschitz condition on signals and observations that is both necessary and sufficient for the existence of a robust recovery.
Block-wise Lensless Compressive Camera
2) The coding patterns used in each block can be the same, therefore the sensing matrix is only of the block size compared to the entire image size in existing $\text{L}^2\text{C}^2$.
Multi-resolution Compressive Sensing Reconstruction
We consider the problem of reconstructing an image from compressive measurements using a multi-resolution grid.
Compressive Sensing via Low-Rank Gaussian Mixture Models
We develop a new compressive sensing (CS) inversion algorithm by utilizing the Gaussian mixture model (GMM).
Lensless Compressive Imaging
We develop a lensless compressive imaging architecture, which consists of an aperture assembly and a single sensor, without using any lens.
Noise Analysis for Lensless Compressive Imaging
In this paper, we perform noise analysis of this lensless compressive imaging architecture and compare it with pinhole aperture imaging and lens aperture imaging.
Signal to Noise Ratio in Lensless Compressive Imaging
We will show that the SNR in the LCI is independent of the image resolution, while the SNR in either pinhole aperture imaging or lens aperture imaging decreases as the image resolution increases.
Multi-view in Lensless Compressive Imaging
Multi-view images are acquired by a lensless compressive imaging architecture, which consists of an aperture assembly and multiple sensors.
Adaptive low rank and sparse decomposition of video using compressive sensing
We address the problem of reconstructing and analyzing surveillance videos using compressive sensing.
