It looks like you are finding the inverse matrix by Cramer's rule. While it works Ok for 2x2 or 3x3 matrix sizes, the hard part about ... ... <看更多>
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It looks like you are finding the inverse matrix by Cramer's rule. While it works Ok for 2x2 or 3x3 matrix sizes, the hard part about ... ... <看更多>
In general this problem falls under the umbrella of "structured prediction" since you are trying to estimate a number of things that are related by virtue ... ... <看更多>
Matrix inversion is numerically sensitive and the CMSIS DSP library only supports matrix inversion of floating-point matrices. ... <看更多>