$\delta$	The differential opening of secondary flow valves
$X_b$	X coordinates of pressure tap
$L_c$	Coanda wall chord length
$Y_b$	Y coordinates of pressure tap
$Y_s$	Twice the length of the nozzle trailing edge
$P_i$	Pressure measured by the pressure sensor
$P_s$	Surface static pressure
$P_a$	Atmospheric pressure
$C_p$	Pressure coefficients
$N$	Number of snapshots
$M$	Number of wall locations for pressure measurement
$P_{ij}^{\mathrm{f}\mathrm{u}\mathrm{l}\mathrm{l}}$	Wall pressure value measured at the j-th sensor location in the i-th snapshot
${\overline{p}}_j$	Mean pressure vector
${\mathit{P}}^{\mathbf{\prime }}$	Centered snapshot matrix
$\mathit{U}$ $, \mathit{V}$	Orthonormal matrix obtained from singular value decomposition
$r$	$\mathrm{Rank} \mathrm{of} \mathrm{the} \mathrm{centered} \mathrm{snapshot} \mathrm{matrix} {\mathit{P}}^{\prime }$
$\mathit{\Sigma }$	Diagonal matrix containing singular values
${\sigma }_r$	$\mathrm{Element} \mathrm{of} \mathrm{matrix} \mathit{\Sigma }$
$\mathit{\Phi }$	Matrix of spatial POD modes
${\mathit{\varphi }}_{\mathit{r}}$	Individual POD modes
${\mathbf{A}}^{\mathbf{f}\mathbf{u}\mathbf{l}\mathbf{l}}$	Matrix of temporal coefficients corresponding to full POD modes
$m$	Number of retained dominant POD modes
${\mathit{\Phi }}_{\mathit{m}}$	Reduced modal basis composed of the first m dominant POD modes
${\mathit{A}}_{\mathit{m}}^{\mathit{f}\mathit{u}\mathit{l}\mathit{l}}$	Matrix of temporal coefficients corresponding to the reduced modal basis
${\mathit{P}}_{\mathit{i}}^{\mathbf{f}\mathbf{u}\mathbf{l}\mathbf{l}}$	Instantaneous wall pressure vector
${\mathit{a}}_{\mathit{i}}^{\mathit{f}\mathit{u}\mathit{l}\mathit{l}}$	Vector of modal coefficients for the i-th snapshot
$K$	Number of finite sensor locations
$\mathbf{S}$	Sampling matrix
${\mathit{P}}_{\mathit{i}}^{\mathit{k}}$	Sparse measurement vector corresponding to the i-th snapshot
${\mathit{y}}^{\mathit{i}}$	$\mathrm{Defined} \mathrm{vector}, \mathrm{equal} \mathrm{to} {\mathit{P}}_{\mathit{i}}^{\mathit{k}}-\mathbf{S}\hspace{0.17em}{\mathit{P}}_{\mathit{i}}^{\mathrm{f}\mathrm{u}\mathrm{l}\mathrm{l}}$
$\mathit{\Theta }$	$\mathrm{Matrix} \mathrm{defined} \mathrm{as} \mathit{S}\hspace{0.17em}{\mathit{\Phi }}_m$
${\mathit{a}}_{\mathit{i}}^{\mathit{k}}$	Modal coefficients in the compressed sensing framework
${\widehat{\mathit{P}}}_{\mathit{i}}^{\mathit{f}\mathit{u}\mathit{l}\mathit{l}}$	Reconstructed full-field wall pressure vector
$\mathit{x}$	Sensor layout
$f\left(\mathit{x}\right)$	Normalized error index, represents local max error
$g\left(\mathit{x}\right)$	Normalized error index, represents global mean error
$m\left(\mathit{x},i\right)$	$\mathrm{Normalized} \mathrm{mean} \mathrm{error} \mathrm{over} \mathrm{all} \mathrm{measurement} \mathrm{points} (\mathrm{for} \mathrm{the} i\text{-}\mathrm{th} \mathrm{snapshot} \mathrm{under} \mathrm{given} \mathrm{sensor} \mathrm{layout} x$)
$h(\mathit{x},i)$	$\mathrm{Normalized} \mathrm{maximum} \mathrm{error} \mathrm{over} \mathrm{all} \mathrm{measurement} \mathrm{points} (\mathrm{for} \mathrm{the} i\text{-}\mathrm{th} \mathrm{snapshot} \mathrm{under} \mathrm{given} \mathrm{sensor} \mathrm{layout} x$)
$G$	Global maximum absolute pressure from the reference dataset
${\widehat{C}}_p$	Reconstructed pressure coefficients
$\mathsf{\Delta }{C}_p$	Reconstruction pressure coefficient error