F.4. Probability and Statistics
A Sharp Sufficient Condition for Sparsity Pattern Recovery

Z. Shaeiri; M. R. Karami; A. Aghagolzadeh

Volume 8, Issue 1 , January 2020, , Pages 13-23

http://dx.doi.org/10.22044/jadm.2019.6908.1810

Abstract
  Sufficient number of linear and noisy measurements for exact and approximate sparsity pattern/support set recovery in the high dimensional setting is derived. Although this problem as been addressed in the recent literature, there is still considerable gaps between those results and the exact limits ...  Read More

F.2.2. Interpolation
A Block-Wise random sampling approach: Compressed sensing problem

V. Abolghasemi; S. Ferdowsi; S. Sanei

Volume 3, Issue 1 , March 2015, , Pages 93-100

http://dx.doi.org/10.5829/idosi.JAIDM.2015.03.01.10

Abstract
  The focus of this paper is to consider the compressed sensing problem. It is stated that the compressed sensing theory, under certain conditions, helps relax the Nyquist sampling theory and takes smaller samples. One of the important tasks in this theory is to carefully design measurement matrix (sampling ...  Read More