I am reading a paper and I have problem to understand the equation (this is the full paper)
Assume that a one-dimensional discrete-time signal s of length N exhibits sparsity in certain orthonormal basis Ψ defined by the basis vectors $\Psi = [\Psi_{1}|\Psi_{2}|\Psi_{3}|...\Psi_{N}]$. Therefore, the signal s can be represented using its sparse transform domain vector x as follows:
What is the meaning of the vertical bar in $\Psi = [\Psi_{1}|\Psi_{2}|\Psi_{3}|...\Psi_{N}]$?
The context is:
So, it seems that $\Psi$ is an orthonormal basis, that the vectors of that basis are $\Psi_1,\Psi_2,\Psi_3,\ldots,\Psi_N$ and that $[\Psi_1∣\Psi_2∣\Psi_3∣\ldots\Psi_N]$ means $\{\Psi_1,\Psi_2,\Psi_3,\ldots,\Psi_N\}$.