Solving a linear equation using least-squares (Calibration Matrix)
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Hi,
I need to find the calibration matrix C and offset A in the equation:
F = A + CX
F is a [2x1] vector and X is [3x1] vector. These are known from experimental data.
The offset vector A is [2x1] and the calibration matrix C is [2x3].
I have multiple data such that F becomes a matrix of size [2xn] and X becomes a matrix of size [3xn].
I need to find a way to approximate matrices A and C using a least-squares approach.
It is not clear to me how to proceed however.
Thanks!
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