We solve the compressive sensing problem via the convolutional dictionary learning. We develop an alternating direction method of multipliers (ADMM) paradigm for compressive inversion.
We develop a new compressive sensing (CS) inversion algorithm by utilizing the Gaussian mixture model (GMM).
We present an end-to-end image compression system based on compressive sensing by adding measurement quantization and entropy coding to the conventional scheme of compressive sampling and reconstru
This paper discusses compressive sensing with sparse measurement matrices.
A compressive video microscope based on structured illumination is built.
Periodic intensity variations in the measured Compton profile anisotropies of ordinary ice I sub h correspond to distance of 1.8 angstroms and 3.0 angstroms which are close to the hydrogen bond len
Consider several source nodes communicating across a wireless network to a destination node with the help of several layers of relay nodes. Recent work by Avestimehr et al.
The interface shape separating a gas layer within a superhydrophobic surface consisting of a square lattice of posts from a pressurized liquid above the surface is computed numerically.
The presumed difficulty of computing discrete logarithms in finite fields is the basis of several popular public key cryptosystems.
In spite of the efforts of a large number of investigators who have studied the problem over three decades there is no way to compute the distortion caused by filters and other networks for arbitra
