搜索资源列表
GMM-latentSpace-v2.0
- Gaussian Mixture Model
baizaosheng
- 本程序能实现基于小波模极大值算法去除高斯白噪声。效果显著-This procedure can achieve based on wavelet modulus maxima method to remove Gaussian white noise. Remarkably
Background_Subtraction_with_MCS
- 背景消去算法，Mixture of Gaussian frame_difference approximate_median-Background_Subtraction_with_MCS Mixture of Gaussian frame_difference approximate_median
GaussianMixtureModels
- GMM Model Gaussian Mixture Models - Algorithm and Matlab Code-GMM Model!
1
- LMS在加性高斯白噪声信道下迭代2000步的输出能量和误差权矢量-LMS in the additive white Gaussian noise channel output of the next iteration step 2000, the energy and the error weight vector
Gaussian
- 对已知图像加高斯噪声，然后利用一个3*3的窗口进行去噪声处理。-The known image plus Gaussian noise, and then use a 3* 3 windows to the noise processing.
sharpness_measurement
- laplacian of gaussian test
1
- Player Detection Algorithm Based on Gaussian Mixture Models Background Modeling
gaussnoise
- 中心极限定理和Box-Muller方法产生高斯噪声 并用于二进制双极性基带通信系统仿真-The central limit theorem and the Box-Muller method of Gaussian noise and used to generate a binary bipolar baseband communication system simulation
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,