QR decomposition for complex-valued matrices

The Complex Burst QR Decomposition block uses QR decomposition to compute
*R* and *C* = *Q*'*B*, where *Q**R* = *A*, and *A* and *B* are complex-valued
matrices. The least-squares solution to *A**x* = *B* is *x* = *R*\*C*. *R* is an upper triangular matrix and *Q*
is an orthogonal matrix. To compute *C* = *Q'*, set *B* to be the identity matrix.

generates a model named `model`

= fixed.getQRFactorizationModel(`A`

, `B`

)`model`

containing a QR Decomposition block and
data input matrices, `A`

and `B`

.

Complex Burst Matrix Solve Using QR Decomposition | Complex Burst QR Decomposition | Real Burst Matrix Solve Using QR Decomposition