Model Reduction of a Noisy 2D Experimental Data
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I am trying to understand the following MATLAB code:
Reduce(Reduce(u))
where u is a n×m matrix and is a 2D measurement from an experiment which contains noise. Does Reduce take into account the uncertainty in u? Would someone kindly help me have a better understanding of what the above mentioned code is doing?
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