2017
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
CVPR 2017oral
Blind deconvolution is the problem of recovering a convolutional kernel and an activation signal from their convolution. This problem is ill-posed without further constraints or priors. This paper studies the situation where the nonzero entries in the activation signal are sparsely and randomly popu…