The model using a modified ratio spectral index, mRSI(2275, 1875), yielded LKC with a coefficient of determination (R) of 0.61 and a root mean square error (RMSE) of 0.57%. Normalisation methods can eliminate multiplicative error in blade spectra, thereby correcting the underestimated reflectance...
In this paper, a sign normalised least mean square algorithm (SNLMS) based on Wiener spline adaptive filter, called SAF-SNLMS, is proposed. The proposed algorithm is derived by minimising the absolute value of the a posteriori error. Moreover, to further improve the convergence performance of ...