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DoGfilters
- DoG(Difference of Gaussian)滤波算子，主要用于边缘特征提取，用于模式识别中的分割预处理。其主要参数为两个高斯函数的方差，针对方差设计可以对不同的图像特征情况下有不同的表现。-DoG (Difference of Gaussian) filtering operator, the edge feature extraction is mainly used for pattern recognition of t
em_gm
- EM算法是机器学习领域中常用的一种算法，这个文件是EM算法最简单的一种实现，即在Gaussian Mixture model上面的EM。-EM field of machine learning algorithm is commonly used in an algorithm, this document is the most simple EM algorithm as a realization that, in Gaussi
randomdata
- 用C语言编写随机信号的产生：包括均匀分布，高斯分布，二项式分布，锐利分布， 对数高斯分布，泊松分布，拉普拉斯等分布。-Using C language of the generated random signal: including uniform distribution, Gaussian distribution, binomial distribution, a sharp distribution, logarithm
VariableBlur040
- Variableblur is a gaussian, binomial or average blur filter with a variable radius
Gaumix_EM
- 使用高斯模型期望值最大化演算法,做圖形分割 Gaumix_EM: EM Algorithm Applicated to Parameter Estimation for Gaussian Mixture -Gaussian model using expectation maximization algorithm, to do graphics segmentation Gaumix_EM: EM Algorithm Appl
filter
- 包含各种滤波方式,包括高斯高通滤波.高斯低通滤波,维那滤波等-Contains a variety of filtering methods, including Gaussian high-pass filtering. Gaussian low-pass filtering, filtering Weina
Log
- 高斯拉普拉斯算子以及常用边缘检测算子的实现方法，有界面，非常好用-Laplacian Gaussian edge detection as well as the commonly used operators realize, there are interface, very easy to use
RaoBlackwellisedParticleFilteringforDynamicBayesia
- The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The softwar
NoiseReduction_v1
- 本程式实做了Noise Reductin Algorithm 2005年一个韩国人在ieee发表的Paper Block-based noise estimation using adaptive Gaussian filtering 此论文也收录在资料夹中，供使用者参考。 首先，click open file， 选择第一张原始图(未被杂讯污染) 接下来选择第二张图(有杂讯) 你可以直接点选Noi
BLS-GSM_Denoising
- BLS-GSM 即"Bayesian Least Squares - Gaussian Scale Mixture".基于贝叶斯最小平方-高斯概率混合模型的算法。用于图像去噪。相关文献索引详见readme-BLS-GSM or
digital_image_processing_GUI
- GUI界面，能方便的对图像进行灰度变换、直方图均衡、增大及缩小分辨率、不同模板数的高斯平滑滤波器和加权平滑滤波器等 -GUI interface, can make it easier for the gray-scale transformation of the image, histogram equalization, increase and reduce the resolution, the number of dif
gmm
- Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and
misc
- Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Ge
AtutorialonparticlefiltersforonlinenonlinearnonGau
- A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking
anigaussm
- 去除高斯噪声的有效码源，去噪能力强，使简单。-The effective removal of Gaussian noise source code, denoising capability, so that simple.
AWGN
- 包括0均值和给定方差的高斯白噪声生成函数，以及复高斯白噪声生成函数-Including the 0 mean and given variance Gaussian white noise generating function, as well as complex Gaussian white noise generating function
Fast_Algorithm_estimating_the_number_of_sinusoids_
- Fast Algorithm estimating the number of sinusoids in a white Gaussian noise. This algorithm use a sub-space method based on chi-square statistics of eigen values of the Autocorrelation Matrix.
Gauss
- 解n阶线形方程组Ax=b的列主元高斯消去法的通用程序如下(下列程序都是在 matlab平台下编写的)-Solution of n-order linear equations Ax = b of the PCA out of the general Gaussian elimination procedure is as follows (the following procedures are prepared under matla
Gaussiansmoothing
- 高斯平滑是去除图像噪声的一种方法，用低频滤波器处理，低通滤波器的作用就是滤掉高频分量，从而达到减少图象噪声的目的，高斯平滑指的是滤波用的模版是高斯（guass）模版，通过采样2维高斯函数得到。-Gaussian smoothing is to remove the image noise is a means to deal with low-frequency filter, low pass filter function is t
GGD_paramter
- 这个matlab程序用于实现广义高斯分布的参数估计，非常有用-Matlab program for the realization of the generalized Gaussian distribution of parameter estimation, a very useful