搜索资源列表
GMM-GMR-v1.2
- GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
GaussianPyramid
- Gaussian Pyramid的简单实现，可以处理彩色图像。-An implement of Gaussian Pyramid, and it can deal with the color image.
fdtd_2d_demo_v1_1
- In this paper, a two-dimensional (2-D) transverse magnetic (TM) mode finite difference time domain (FDTD) method is used to simulate the indoor radio wave propagation and model the indoor ultra wideband (UWB) channel. The modulated Gaussian p
Laplacian_Gaussian
- 数字图案象处理， Laplacian of Gaussian算法，对256x256的bmp黑白图像进行处理。-digital image processing, Laplacian of Gaussian algorithm, deal with 256x256 black white bmp image.
DigitalImageProcessingMatlabAlgorithms
- These are Digital Image processing algorithm implementation in Matlabs. Following are the Matlab Codes attached: Butterworth Filter in Frequency Domain Gaussian Filter in Frequency Domain Homomorphic Filter Laplacian Transform Histogram Eq
gaussian_average_rgb
- 在rgb颜色空间实现的单高斯模型，用于目标检测-In rgb color space to achieve a single-Gaussian model for target detection
Gauss_E_Pivoting
- Gaussian Elimination with partial pivoting (LU factorization)
gmm
- Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
mlr
- Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
imageprocessing
- Gaussian Filter for images Matlab
myIPC
- BMP图像打开，二值化，形态学处理（膨胀，腐蚀，开，闭，二值边界提取），边缘提取（Roberts，sobel，laplacian，prewitt，laplacian of gaussian算子）-BMP images open, binarization, morphology processing (expansion, corrosion, open, closed, two-valued edge extraction), edge extraction (Roberts, sobel,
rand_gen
- 随即分布数据产生的程序，产生均匀分布、瑞利分布、标准高斯分布、莱斯分布的随机变量-Then the distribution of data generation process, resulting in uniform distribution, Rayleigh distribution, the standard Gaussian distribution, Rice distribution of the random variable
DrawGuassin
- matlab代码，描述了如何画高斯一维分布，和二维，三维以及高维分布，有产生高斯数据的matalb函数-matlab code，discr ipt how to draw a gaussian function and the code that produce the data for this fuction
motiondetect
- 实现基于混合高斯模型的运动目标检测算法的仿真-Achieved based on Gaussian mixture model simulation of moving target detection algorithm
LWLR
- this program compare the Locally Weighted Linear Regression with three diferrent kernel function (gaussian, logistic basis, and Reciprocal Multiquadric) also compare locally weighted by simple Linear Regression.
DCT
- 生成一个高斯水印后，对待嵌入水印的载体图像进行二维的DCT变换，然后嵌入水印-Generates a Gaussian watermark, the watermark embedded in the carrier to treat two-dimensional image of the DCT transform, and then embedding the watermark
Gaussian-smoothing
- 关于高斯平滑（Gaussian-smoothing）的C++源代码-On the Gaussian smoothing (Gaussian-smoothing) of the C++ source code
gaussian_mixture_model
- 基于高斯混合分布的假设，利用EM算法对数据进行分类-classification based on the Gaussian Mixtrue Models using EM algorithms
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- 基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫 优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa- reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利 用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标 测试问题,通过与出众的动态环境优化算法比较,数值实验表明所
BilaFlt
- 对图像进行双边滤波的函数。有两个高斯核，一个是对像素点见的距离，一个是对像素点见的灰度差。-Right image bilateral filtering function. There are two Gaussian kernel, one is the pixel to see distance, one is to see the gray scale pixel difference.