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[matlab例程counting

说明:this small file used for counting of exterima
<lallu> 在 2025-07-20 上传 | 大小:1kb | 下载:0

[matlab例程butter_worth

说明:this small matlab code is used to design butter worth filter.
<lallu> 在 2025-07-20 上传 | 大小:1kb | 下载:0

[matlab例程Untitlelvbo

说明:利用MATLAB进行图像滤波技术,包含理想低通,高通滤波器和巴特沃思低通,高通滤波器的设计-Using MATLAB for image filtering techniques, including the ideal low-pass, high pass filter and Butterworth low-pass, high pass filter design
<marui> 在 2025-07-20 上传 | 大小:1kb | 下载:0

[matlab例程cyclic

说明:this file that how you can encode cyclic code-this is file that how you can encode cyclic code
<dude> 在 2025-07-20 上传 | 大小:1kb | 下载:0

[matlab例程cany

说明:Canys edge detection algorith implemented.
<ameya> 在 2025-07-20 上传 | 大小:1kb | 下载:0

[matlab例程1

说明:filter size image processing
<aaaaa> 在 2025-07-20 上传 | 大小:1kb | 下载:0

[matlab例程2

说明:filter line recognation iamge processing
<aaaaa> 在 2025-07-20 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 2025-07-20 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 2025-07-20 上传 | 大小:1kb | 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 2025-07-20 上传 | 大小:1kb | 下载:0

[matlab例程fit_ML_laplace

说明: fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b)
<resident e> 在 2025-07-20 上传 | 大小:1kb | 下载:0

[matlab例程fit_ML_log_normal

说明: fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b)
<resident e> 在 2025-07-20 上传 | 大小:1kb | 下载:0
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