用粒子滤波算法进行跟踪的matlab代码 - matlab算法设计 - 谷速源码
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标题：用粒子滤波算法进行跟踪的matlab代码
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所属分类: 算法设计 资源类型：程序源码 文件大小: 30.35 KB 上传时间: 2019-06-16 09:19:32 下载次数: 58 资源积分：1分 提 供 者: zhangsan456 gmm_utilities
内容：
用粒子滤波算法进行跟踪的matlab代码，function gr = gmm_addition(g1, g2)
% Convolution for addition of two random variables: xr = x1+x2
% Same as gmm_convolve.
 
D = size(g1.x, 1);
M = size(g1.x, 2);
N = size(g2.x, 2);
R = M*N;
 
gr.x = zeros(D,R);
gr.P = zeros(D,D,R);
gr.w = zeros(1,R);
 
k=1;
for i=1:M
    xi = g1.x(:,i);
    Pi = g1.P(:,:,i);
    wi = g1.w(i);
    
    for j=1:N
        gr.x(:,k) = xi + g2.x(:,j);
        gr.P(:,:,k) = Pi + g2.P(:,:,j);
        gr.w(k) = wi * g2.w(j);
        
        k = k+1;
    end
end       

文件列表（点击上边下载按钮，如果是垃圾文件请在下面评价差评或者投诉）:

gmm_utilities/
gmm_utilities/Contents.m
gmm_utilities/KF_update_w.m
gmm_utilities/KF_update_w_simple.m
gmm_utilities/Notes.txt
gmm_utilities/approximate_gauss_by_gmm.m
gmm_utilities/approximate_gauss_by_kernels.m
gmm_utilities/covariance_intersect.m
gmm_utilities/gauss_divide.m
gmm_utilities/gauss_multiply.m
gmm_utilities/gmm_addition.m
gmm_utilities/gmm_conditional.m
gmm_utilities/gmm_convolve.m
gmm_utilities/gmm_correlate.m
gmm_utilities/gmm_counting_algorithm.m
gmm_utilities/gmm_covariance_intersect.m
gmm_utilities/gmm_derivative.m
gmm_utilities/gmm_derivative_parameters.m
gmm_utilities/gmm_display_1D.m
gmm_utilities/gmm_display_2D_contour.m
gmm_utilities/gmm_distance_KLD.m
gmm_utilities/gmm_distance_bayes.m
gmm_utilities/gmm_distance_bhattacharyya.m
gmm_utilities/gmm_divide.m
gmm_utilities/gmm_em.m
gmm_utilities/gmm_em_auto.m
gmm_utilities/gmm_entropy.m
gmm_utilities/gmm_evaluate.m
gmm_utilities/gmm_marginal.m
gmm_utilities/gmm_multiply.m
gmm_utilities/gmm_normalise.m
gmm_utilities/gmm_reduce_merge.m
gmm_utilities/gmm_reduce_truncate.m
gmm_utilities/gmm_remove_zeros.m
gmm_utilities/gmm_samples.m
gmm_utilities/gmm_samples_old.m
gmm_utilities/gmm_slice.m
gmm_utilities/gmm_subtract.m
gmm_utilities/gmm_to_gaussian.m
gmm_utilities/gmm_transform.m
gmm_utilities/gmm_update.m
gmm_utilities/gmm_update_linearised.m
gmm_utilities/kernel_convolve.m
gmm_utilities/kernel_distance_KLD.m
gmm_utilities/kernel_distance_bayes.m
gmm_utilities/kernel_distance_bhattacharyya.m
gmm_utilities/kernel_divide.m
gmm_utilities/kernel_evaluate.m
gmm_utilities/kernel_multiply.m
gmm_utilities/kernel_normalise.m
gmm_utilities/kernel_reduce_merge.m
gmm_utilities/kernel_reduce_truncate.m
gmm_utilities/kernel_samples.m
gmm_utilities/kernel_to_gaussian.m
gmm_utilities/kernel_transform.m
gmm_utilities/kernel_update.m
gmm_utilities/make_random_gmm.m

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