classify_nn

用matlab实现插值与拟合，统计领域用的比较多(Matlab implementation with interpolation and fitting, statistical areas are more used)

overall snr estimation in signal

a function that calculate the laplacian transform of an given image

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

基于MATLAB编写的集对分析与K均值聚类相结合的环境风险评价方法，熵权法作为指标权重确定方法。(MATLAB based on set prepared for analysis of environmental risk assessment and K-means clustering method of combining, entropy law as a method of determining the index weight.)

When x is a matrix, a wavelet transform is performed on all rows of x. ％ - To create filters + shifts: see makeWTfilter.m and mirrorshifts.m ％ - The forward transform is in FWT_BIO.m(When x is a matrix, a wavelet transform is performed on all rows of x.- To create filters+ Shifts: see makeWTfilter.m and mirrorshifts.m- The forward transform is in FWT_BIO.m)

Friction parameters identification

考虑时间延迟的传递对准程序，基于速度+姿态匹配方式(Transfer alignment considering time delay)

Lanczos algorithm for tridiagunalization of a matrix.

详细解答kalman滤波的使用方法和步骤，给出其matlab相关示范代码(Detailed answers to the use of kalman filtering methods and procedures, given the associated sample code matlab)