QR decomposition for complex-valued matrices
Fixed-Point Designer / Matrices and Linear Algebra / Matrix Factorizations
The Complex Burst QR Decomposition block uses QR decomposition to compute R and C = Q'B, where QR = A, and A and B are complex-valued matrices. The least-squares solution to Ax = 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.
fixed.getQRDecompositionModel(
generates a template model containing a Complex Burst QR Decomposition block
for complex-valued input matrices A and B.A
,B
)