搜索资源列表
MultivariateGaussianMixtureModelOptimizationbyCros
- Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
gg
- 一个自已写的，很多data用一个gaussian distribution 去fit。
q_Gaussian_fit
- Tsallis statistics-q Gaussian fit
fit_mix_gaussian
- 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
High
- This paper presents a clustering approach which estimates the specific subspace and the intrinsic dimension of each class. Our approach adapts the Gaussian mixture model framework to high-dimensional data and estimates the parameters which best
mmvn_toolkit
- A toolkit for Gaussian mixtures. flexible tools for: Generating univariate, multivariate, or mixtures of gaussians Interactive viewing tools allows viewing of multidimensional data and models. Initialize models, add and remove dimensions or
Delineation
- This routine performs automatic curve fitting of overlapping lines. It uses a Levenberg-Marquardt fitting routine. The fit function can be Lorentzian, Gaussian or Mixed Lorentzian and Gaussian. Use Options->Line Fit to activate the line fitting pr
roughness
- 可以对一维波形数据进行拟合，高斯滤波，计算粗糙度等-Can be one-dimensional wave-shaped to fit the data, Gaussian filtering, calculation of roughness
my_least_squares
- -least squares algorithms using gradient descent to find minimum of function - gaussian fit algorithm
gussian
- 高斯混合模型在图像处理方面运用广泛。她是利用已知的数学模型，通过逐渐逼近的方法，使得给定数据集和数据模型之间达成最佳拟合。-Gaussian mixture model widely used in image processing. She is the use of known mathematical models, through a gradual approximation approach that makes a given data set and the best fit b
Matlabsimulation
- 通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检 测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.-M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori
fit_mix_2D_gaussian
- 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
2dgaussian
- 汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 auto
2dgaussian200
- 2 functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters.
sumGaussFitting
- 数值算法，高斯和拟合，能够对输入的数据进行拟合，并且能够得出最佳的图形，非常值得下载。-Numerical algorithm, Gaussian, and fitting, to fit the input data, and can come to the best of the graphics, well worth the download.
ellipse
- 从TEX文档中读取一系列点数据xy坐标，根据最小二乘原理，采用高斯全主元消去法来拟合椭圆曲线，求得椭圆基本参数。-From the TEX document to read a series of points xy coordinates, Gaussian full principal component elimination method based on the principle of least squares to fit the elliptic curve obtained
2dgaussian210
- 2维曲面拟合，gauss or gabor 函数-Functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. This is done by evaluating the quality
fitgauss
- 一个matlab版本的高斯拟合程序，实现一维数组的高斯拟合-A version of Gaussian fitting matlab program to achieve a one-dimensional array of Gaussian fit
gaisinihe
- 用MATLAB实现高斯拟合函数-Gaussian fit function with MATLAB
Gaussian curve fitting
- 使用matlab进行曲线拟合，使用程序实现高斯(Gaussian)曲线拟合，而不使用cftool工具箱(guass surve fit, not use the cftool)