搜索资源列表
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
emgmm
- 最大的高斯混合模型似然估计的期望最大化算法-Maximum likelihood estimation of Gaussian mixture model by expectation maximization algorithm
NSCTtransform
- 基于高斯混合模型的NSCT变换遥感图像融合-Gaussian Mixed Model Based NSCT Remote Sensing Image Fusion
VBEMGMM
- 用Matlab写的高斯混合模型的贝叶斯EM估计，-Variational Bayesian EM for Gaussian mixture models
directionlet
- 基于Directionlet变换的图像去噪与增强的算法研究；基于提升Directionlet域高斯混合尺度模型的图像噪声抑制等。-Image denoising based Directionlet transform algorithm and enhanced Gaussian mixture based on lifting Directionlet field-scale model of image noise suppression.
GSM_Denoise
- 实现了高斯混合尺度模型（GSM）算法，可被嵌入到各种去噪框架中（如各种小波变换等）使用。-Gaussian mixture scale model (GSM) algorithm, can be embedded into a variety of denoising framework (such as a variety of wavelet transform, etc.) use.
project
- 语音增强，加权去噪自动编码器，信噪比估计，维纳滤波，噪声分类，高斯混合模型,维纳滤波-Wiener filtering based speech enhancement
BLS-GSM
- BLS-GSM代表“Bayesian Least Squares - Gaussian Scale Mixture(贝叶斯最小二乘-高斯尺度混合模型)”。 这个工具箱实现了该篇论文中介绍的算法： J Portilla, V Strela, M Wainwright, E P Simoncelli, Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain, IEEE Transaction
Hybrid-Gaussian
- 混合高斯模型，能够区分前景和背景。导入视频可世界运行。但是还没有去噪，可能对前景分析不够准确。-The code of Hybrid Gaussian,It can distinguish the difference of foreground and background.
kevfrmfv
- 重要参数的提取，本程序的性能已经达到较高水平，感应双馈发电机系统的仿真，多姿态，多角度，有不同光照,是本科毕设的题目，采用了小波去噪的思想，利用贝叶斯原理估计混合logit模型的参数。- Extract important parameters, The performance of the program has reached a high level, Simulation of doubly fed induction generator system, Much posture, mu