Description: Various kalman filter design, It contains positional PID algorithm, integral separate PID, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Combined with PCA scale invariant feature transform (SIFT) algorithm, Optimization class contains several simple sample programs, Using MATLAB compressed sensing.
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dhjasyzu.m
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