Skip to main content
. 2019 Sep 2;5:e217. doi: 10.7717/peerj-cs.217

Table 2. Table of notations.

Notation Description
x Original signal
M Number of measurements
y Compressed sample
ϕ CS matrix
Ψ Transform matrix
K Signal sparsity level
g Sparse presentation of x
r Residual of y
X Wolf position
Xp Prey position
q Number of selected columns by Wolf algorithm
Xα α Wolf position
Xβ β Wolf position
Xδ δ Wolf position
R Support set
C Search set
φc Sub-matrix contains columns with indices c from φ matrix
best Best solution or Xα
Secbest Second best solution or Xβ
thirbest Third best solution or Xδ
f Fitness value
x Estimated solution
t Number of iterations
Pseudo-inverse
L Indices set of largest K magnitude entries in φcy