8 citations · 18 across the 5 of their papers we have counts for
4 papers · 1 filter
Short-and-Sparse Deconvolution -- A Geometric Approach
Yenson Lau, Qing Qu, Han-Wen Kuo +3
Short-and-sparse deconvolution (SaSD) is the problem of extracting localized, recurring motifs in signals with spatial or temporal structure. Variants of this problem arise in appl…
Compressed Sensing Microscopy with Scanning Line Probes
Han-Wen Kuo, Anna E. Dorfi, Daniel V. Esposito +1
In applications of scanning probe microscopy, images are acquired by raster scanning a point probe across a sample. Viewed from the perspective of compressed sensing (CS), this poi…
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
Yuqian Zhang, Yenson Lau, Han-Wen Kuo +3
Blind deconvolution is the problem of recovering a convolutional kernel and an activation signal from their convolution $\boldsymbol y = \boldsy…
Geometry and Symmetry in Short-and-Sparse Deconvolution
Han-Wen Kuo, Yenson Lau, Yuqian Zhang +1
We study the problem of recovering a short signal and a sparse signal from their convolution. We propose…