文件名称:gaosilvboqi
介绍说明--下载内容均来自于网络,请自行研究使用
高斯滤波器,里面包含各种算例,是一种比较有效的滤波器,比较实用。-Gauss filter, which contains a variety of examples, is a more effective filter, more practical.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
gaosilvboqi
...........\Contents.m
...........\KF_update_w.m
...........\KF_update_w_simple.m
...........\Notes.txt
...........\approximate_gauss_by_gmm.m
...........\approximate_gauss_by_kernels.m
...........\covariance_intersect.m
...........\gauss_divide.m
...........\gauss_multiply.m
...........\gmm_addition.m
...........\gmm_conditional.m
...........\gmm_convolve.m
...........\gmm_correlate.m
...........\gmm_counting_algorithm.m
...........\gmm_covariance_intersect.m
...........\gmm_derivative.m
...........\gmm_derivative_parameters.m
...........\gmm_display_1D.m
...........\gmm_display_2D_contour.m
...........\gmm_distance_KLD.m
...........\gmm_distance_bayes.m
...........\gmm_distance_bhattacharyya.m
...........\gmm_divide.m
...........\gmm_em.m
...........\gmm_em_auto.m
...........\gmm_entropy.m
...........\gmm_evaluate.m
...........\gmm_marginal.m
...........\gmm_multiply.m
...........\gmm_normalise.m
...........\gmm_reduce_merge.m
...........\gmm_reduce_truncate.m
...........\gmm_remove_zeros.m
...........\gmm_samples.m
...........\gmm_samples_old.m
...........\gmm_slice.m
...........\gmm_subtract.m
...........\gmm_to_gaussian.m
...........\gmm_transform.m
...........\gmm_update.m
...........\gmm_update_linearised.m
...........\kernel_convolve.m
...........\kernel_distance_KLD.m
...........\kernel_distance_bayes.m
...........\kernel_distance_bhattacharyya.m
...........\kernel_divide.m
...........\kernel_evaluate.m
...........\kernel_multiply.m
...........\kernel_to_gaussian.m
...........\kernel_transform.m
...........\kernel_update.m
...........\make_random_gmm.m