187 citations · 346 across the 26 of their papers we have counts for
7 papers · 2 filters
Optimal Sample Complexity for Blind Gain and Phase Calibration
Yanjun Li, Kiryung Lee, Yoram Bresler
Blind gain and phase calibration (BGPC) is a structured bilinear inverse problem, which arises in many applications, including inverse rendering in computational relighting (albedo…
Blind Recovery of Sparse Signals from Subsampled Convolution
Kiryung Lee, Yanjun Li, Marius Junge +1
Subsampled blind deconvolution is the recovery of two unknown signals from samples of their convolution. To overcome the ill-posedness of this problem, solutions based on priors ta…
RIP-like Properties in Subsampled Blind Deconvolution
Kiryung Lee, Marius Junge
We derive near optimal performance guarantees for subsampled blind deconvolution. Blind deconvolution is an ill-posed bilinear inverse problem and additional subsampling makes the…
Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation
Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin +1
While the recent theory of compressed sensing provides an opportunity to overcome the Nyquist limit in recovering sparse signals, a solution approach usually takes a form of invers…
Identifiability and Stability in Blind Deconvolution under Minimal Assumptions
Yanjun Li, Kiryung Lee, Yoram Bresler
Blind deconvolution (BD) arises in many applications. Without assumptions on the signal and the filter, BD does not admit a unique solution. In practice, subspace or sparsity assum…
Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints
Yanjun Li, Kiryung Lee, Yoram Bresler
Blind deconvolution (BD), the resolution of a signal and a filter given their convolution, arises in many applications. Without further constraints, BD is ill-posed. In practice, s…
A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models
Yanjun Li, Kiryung Lee, Yoram Bresler
Bilinear inverse problems (BIPs), the resolution of two vectors given their image under a bilinear mapping, arise in many applications. Without further constraints, BIPs are usuall…