Since the birth of information theory, to understand, study, and optimize optical imaging
systems from the information–theoretic viewpoint has been an important research subfield of …

High-quality passive ghost imaging with a low sampling rate can effectively improve the
channel capacity utilization of optical imaging systems, but the current ghost imaging …

The sparse signal recovery is of great interest in compressed sensed data recovery. Many
sparse recovery algorithms were developed in the last decade. However, selection of an …

Signal reconstruction from compressed sensed data need iterative methods since the
sparse measurement matrix is analytically non invertible. The iterative thresholding and ℓ 0 …

The video compression sensing method based onmulti hypothesis has attracted extensive
attention in the research of video codec with limited resources. However, the formation of …

Compressed sensing is a well established signal acquisition method. This involves
sampling of correlated and integrated signal at reduced sampling rate. The compressed …