搜索资源列表
opencv_smooth
- 实现高斯函数,及多种滤波器所实现的低通空域滤波-Achieve Gaussian function, and a variety of low-pass filter realized by spatial filtering
gaosi
- 高斯函数的MATLAB ds-uwb中的uwb信号-Gaussian function MATLAB
RBFyuanchengxu
- 在RBF神经网络学习过程中,I出F神经元先计算输入与中心之间的距离,然 后再对这一距离进行某种非线性变换。输出层和隐藏层分别完成不同的任务,这两层学习的策略也不相同。输出层是对线性权进行调整,采用的是线性优化策略, 因而学习速度较快。而隐藏层是对传递函数的参数进行调整,采用的是非线性优 化策略,因而学习速度较慢。 RBF算法选用高斯函数作为隐藏层传递函数时,由隐藏层来实现从 x哼R,(x)的非线性映射,由输出层来实现从R,(X)--->y。的线性映射。-In the R
fcm
- 通过高斯函数导数检测图像边缘,实质是方向可调小波变换检测图像边缘。-Derivative of Gaussian function through the image edge detection, in essence, Steerable wavelet transform image edge detection.
Edge-Detection
- 通过高斯函数导数检测图像边缘,实质是方向可调小波变换检测图像边缘-Gaussian function derivative to detect image edges, the essence of the steerable wavelet transform to detect image edges
gaosimatch
- 高斯函数的匹配化,只需要输入两个线性因子,就可以匹配出所需要的直方图形状-Gaussian function of the match, only need to enter two linear factors, can match the shape of the histogram
functions-of-numerical-computation
- 数值计算中,贝叶斯函数,高斯函数,Romberg,Runge,euler的matlab实现,简便易使用.-matlab program of Bezier,Guess Romberg,Runge,euler method in Numerical computation
1483d06e871a
- matlab仿真可以实现一些高斯函数的matlab相应结果-matlab simulation
gaussapplication
- 一种介绍高斯函数的最基本的转换方法和应该遵循的原则。-A descr iption is the most basic conversion method of the Gaussian function, and should follow the principle.
shiyan
- 通过高斯函数导数检测图像边缘,实质是方向可调小波变换检测图像边缘。-Derivative to detect image edges by Gaussian function, in essence, the steerable wavelet transform to detect image edges.
C1
- 高斯文献,对高斯函数编程实现,对c++学者有着很大作用 -The Gauss literature, the Gaussian function programming, great c++ scholars
Gaussian-random-N
- 高斯函数随机数生成,程序实现正态函数随机数生成,具有不可重复性。-Gaussian function of the random number generator program to achieve normal function of the random number generator with the non-repeatability.
image-edge
- 通过高斯函数导数检测图像边缘,实质是方向可调小波变换检测图像边缘。-Derivative of Gaussian function to detect image edges, essentially Steerable wavelet transform to detect the image edge.
Fast-ICA
- 实现FastICA功能,非线性函数分别选取高斯函数,三次函数和正切函数。-Realize FastICA function, non-linear function were selected gaussian function, three function and tangent function.
LBF
- :LBF 模型是一个著名的基于区域的活动轮廓模型。与PC(Piecewise Constant)模型不同,该模型引入了一个以高斯函数为 核函数的局部二值拟合(Local Binary Fitting,LBF)能量。因为LBF 能量能够获取图像的局部信息,所以LBF 模型解决了PC 模型 不能处理灰度不均一图像的分割问题。提出了一个改进的LBF 模型,它使用一个新的核函数代替高斯核函数-: LBF model is a well-known region-based active cont
gaussian-function-in-matlab
- 本文给出了一些matlab生成高斯函数的源程序-gaussian function in matlab
gussianyuan
- 基于模糊粗糙集的图像阈值分割,隶属度函数选取高斯函数,效果好,计算快-Digital Image Segmentation Used Rough and Fuzzy Set
GMM
- 混合高斯模型算法,可以产生混合高斯分布,并通过自拟和确定高斯函数个数。-Gaussian mixture model algorithm, can produce a mixture of Gaussian distribution, and through self-fitting to determine the number of Gaussian function.
GaussKernel
- 计算高斯函数的模板,输入方差和维数即可获得模板参数,可用于图像的高斯模糊-Calculate the Gaussian function template, enter the variance and dimension can be obtained template parameter can be used to image the Gaussian blur
RBFNN
- RBF网络实现高斯函数的设计,很详细的过程 -RBF network Gaussian function design, very detailed process