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Description: General least squares usually get all the data at one time, and perform unified optimization calculations on all the data to get the model coefficients. Recursive least squares is to calculate the least squares in a recursive way, each time the latest measured value is used to continuously update the model coefficients.
(Click to check if it's the file you need, and recomment it at the bottom):
|NPSA.m|| 3459 || 2021-02-17
|递推最小二乘.txt|| 860 || 2021-02-20|