搜索资源列表
总体分布的非参数估计
- 在图像处理中经常涉及分类,多次有用到非参数估计。本程序用Parzen窗来估计,用随机高斯函数来作计策信号.-in image processing involves classification, the many useful to the non - parametric estimation. The procedure used to estimate Parzen window, using random Gaussian function to signal for the ploy
PF
- 粒子滤波的matlab源代码。在处理非高斯问题时比卡尔曼滤波强。经过测试可用。拿出来和大家分享,希望对大家有用。
pf
- 粒子滤波 目标跟踪 一维情况下 非线性非高斯
BRFOE
- 是What makes a good model of natural images ? (Yair Weiss and William T. Freeman ) CVPR2007 的matlab源码. 是对图像像素亮度值之差为非高斯-马尔可夫模型的实现,以及以该模型为基础的应用.
rob_hess_pf.粒子滤波现在已经成为目标跟踪领域的主流算法
- 粒子滤波现在已经成为目标跟踪领域的主流算法,它的应用范围广泛,在非线性、非高斯噪声下依然表现良好。该代码是Rob Hess 编写的。他的个人主页是:http://web.engr.oregonstate.edu/~hess/ ,Now,Partical filter has become the main algorithm in moving target tracking region.It still perform very well in nonlinear non-gaussia
ICA.rar
- ICA用于图像特征提取 通过定义一个衡量分量独立性和非高斯性的目标函数来实现的,ICA for image feature extraction components by defining a measure of independence and non-Gaussian nature of the objective function to be achieved
Homomorphic_filter
- 同态滤波函数:使用频域处理方法的同态滤波函数,非高斯,巴特沃斯或指数型。对于较黑的图像效果更好-Homomorphic filtering function: the use of frequency domain methods of treatment homomorphic filtering function, non-Gaussian, Butterworth, or index. For more images and better
matlabgaosi
- 使用MATLAB语言编写的非高斯噪声程序,通俗易懂,非常好用-Using the MATLAB language for non-Gaussian noise process, user-friendly, very easy to use
lzlv
- 标准粒子滤波目标跟踪源码! 一维情况下 非线性非高斯,-Standard particle filter target tracking source! One-Dimensional Non-linear non-Gaussian,
basedoncolorsegment
- 为了提高非结构化道路识别算法的有效性,提出了一种道路分割的新方法,建立了道路区域和非道路区域混合高斯彩色模型,根据像素隶属于彩色模型的概率进行基于彩色信息道路 -In order to improve the effectiveness of unstructured road recognition algorithm presents a new method of road segmentation and establish the way of regional and off-roa
CostReference
- 一篇关于代价参考粒子滤波算法的论文,该算法的优点是不需要任何先验概率知识的假定和重采样过程,可实现并行处理。本文将代价参考粒子滤波与当前统计模型的优点相结合 ,提出一种新的当前统计模型自适应跟踪算法 ,用于非线性非高斯系统的机动目标跟踪。-A particle filter on the reference price of the paper, the advantages of the algorithm does not require any prior knowledge of the
2paper2
- 根据图像数字水印基本原理和水印信道的构造及生成方式,从信息论的角度,对基于高斯噪声信道的数字水印容量进行探索。针对高斯信源分布具有最大的不确定性、能够在所有的二阶随机分布中提供最大信息熵的特点,分析在高斯分布情况下的整个水印信道通信过程,并引入平均互信息理论,给出基于高斯的水印信道容量的最大通信速率。同时分析加性噪声信道下的容量问题,将高斯分布扩展到非高斯分布,优化容量计算表达式,利用Matlab软件工具给出非高斯信源水印容量与受限失真度的2D和3D关系仿真曲线,并结合实际给出结果分析。-】Ba
canny
- 自己实现的canny边缘检测算子,包括高斯滤波,非极大值抑制,双阈值处理,边缘细化等步骤。-Own implementation of canny edge detection operator, including the Gaussian filtering, non-maxima suppression, double threshold, edge thinning step.
ICATest
- ICA分离信号测试程序,用于分离两组随机混合的非高斯信号-ICA separation signal test procedures for the separation of a mixture of two non-Gaussian random
apf-
- 关于自适应粒子滤波,我觉得很好用,贝叶斯滤波适合非线性和非高斯环境,在粒子滤波基础上 又加改进-About adaptive particle filter, I feel very good, a bayesian filter for nonlinear and non-gaussian environment, particle filter in again on the foundation and improvement
camshift
- 基于camshift的目标跟踪源代码,了能更好地解决在动态模型为非线性且噪声为非高斯的条件下对机动目标的。- 英语 中文(简体) 日语 Based on the target tracking camshift source code, has been able to better address the dynamic model of nonlinear non-Gaussian and t
whiten-noise
- 白化噪声 使得高斯华 对于非高斯的信号有显著的应用 值得一看-whiten noise
fastkcica
- ICA盲源分离/数字信号非高斯性最大化、负熵最大化-fastica toolbox nmf kica
PFtracking
- 用于目标跟踪的粒子滤波代码, 用matlab编写的,很有借鉴性,一维情况下,非高斯非线性,其中将扩展卡尔曼滤波与粒子滤波进行比较,更好的说明了粒子滤波的优越性-Particle filter for target tracking code, using matlab prepared very useful reference resistance, the one-dimensional case, the non-Gaussian nonlinear, which will be ex
bianyuanjiance
- 利用matlab,对图像进行高斯滤波,然后通过非极大值抑制,设置双阈值,实现图像边缘检测(Image edge detection)