资源列表
[编译器/词法分析] SolutionConverter
说明:visual studio solution file converter exe<ercani> 在 2025-10-03 上传 | 大小:133kb | 下载:0
[按钮控件] Window-Finder
说明:AU3窗口信息获取比如:安装窗口信息,按钮信息等-Descr iption: Window Finder Author(s): Dmitry Yudin (Lazycat) Date: 26.10.2007<chemist> 在 2025-10-03 上传 | 大小:2kb | 下载:0
[Windows CE] Bluetooth
说明:Nfore Bluetooth module drivers and exe program to run on ce<ercani> 在 2025-10-03 上传 | 大小:1.27mb | 下载:0
[2D图形编程] parzenwin2
说明:PARZEN WINDOWN(N) returns the N-point Parzen window in a column vector-PARZEN WINDOWN(N) returns the N-point Parzen window in a column vector<resident e> 在 2025-10-03 上传 | 大小:1kb | 下载:0
[matlab例程] plot3d_2
说明:This function produces an image of a 3D object defined by matrix a(l,m,n) in terms of voxels the image is a view after rotating the object by angles alfa and beta (in degree) b is the image and d is its ditance to the viewer matrix The first figure d<resident e> 在 2025-10-03 上传 | 大小:1kb | 下载:0
[matlab例程] randgen2
说明:randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples in d-dimensions where d = 2 mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around cov1, cov2, cov3 are the covariance matrices and will v<resident e> 在 2025-10-03 上传 | 大小:1kb | 下载:0
[matlab例程] fit_maxwell_pdf
说明: fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples. fits data to the probability of the form:<resident e> 在 2025-10-03 上传 | 大小:2kb | 下载:0
[matlab例程] fit_mix_2D_gaussian
说明:fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the<resident e> 在 2025-10-03 上传 | 大小:2kb | 下载:0
[matlab例程] fit_mix_gaussian
说明: fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm format: [u,sig,t,iter] = fit_mix_gaussian( X,M ) input: X - input samples, Nx1 vector M - number of gaussians which are assumed to compose the distributi<resident e> 在 2025-10-03 上传 | 大小:1kb | 下载:0