Description: Description: Recent studies on Mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank structure. These filters are found to have Gaussian transfer functions in the frequency domain. Thus, taking the Inverse Fourier Transform of this transfer function we get a filter characteristics closely resembling to the Gabor filters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively). Platform: |
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Author:gz |
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Description: 程序代码说明
P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
P0308：图像的自适应魏纳滤波
P0309：运用5种不同的梯度增强法进行图像锐化
P0310：图像的高通滤波和掩模处理
P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理
P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理
-code P0301 : digital image data matrix display and Fourier Transform P0302 : two-dimensional discrete cosine transform image compression P0303 : using gray transform method to enhance the contrast of the image P0304 : histogram equalization P0305 : simulation images by Gaussian white noise and pepper noise impact P0306 : using 2D median filtering function medfilt2 right by the Salt and Pepper noise filtering images P0307 : MATLAB functions filter2 of noise interference filter images mean P0308 : Image Adaptive Filter WEI Na-P0309 : using five different gradient Enhancement Act for image sharpening P0310 : images of high-pass filtering and mask handling P0311 : use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P 0312 : Butterworth (Butterworth) high-pass filt Platform: |
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Author:xueke |
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Description: 附件中的m代码包括了一系列的拟合函数，这些函数通常的输入是概率分布的样本。还有最大似然估计仿真器、最小平方仿真器、混合高斯分布估计的EM算法、-M in the annex to the code, including a series of fitting function, which function normally is the probability distribution of input samples. There are maximum likelihood estimation simulator, emulator least squares, mixed-Gaussian distribution is estimated that the EM algorithm, Platform: |
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Author:liyuedsg |
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Description: 高斯分布二维的数据的产生和画图函数，供数据仿真分析用-Two-dimensional Gaussian distribution of data generation and drawing functions, for simulation data analysis Platform: |
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Author:skybird2006 |
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Description: .高斯子函数（主要用于产生高斯滤波器矩形脉冲响应g(t)）还有相位计算函数（主要用于计算 ）-. Gaussian Functions (mainly used to produce rectangular Gaussian filter impulse response g (t)) are calculated phase function (mainly used to calculate) Platform: |
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Author:魏玉晗 |
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Description: Gaussian process models for Bayesian analysis (for Matlab) V1.1.0-GPstuff toolbox is a collection of Matlab functions for Bayesian inference with Gaussian process models.The toolbox contains some of the recent developments in sparse Gaussian processes and in approximate inference. Platform: |
Size: 501760 |
Author:sayyou |
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Description: 高斯平滑滤波器的Matlab实现，实现对一副图像的滤波处理，并把用自己滤波器进行滤波的实验结果与用Matlab函数进行滤波的结果进行比较。
-Matlab Gaussian smoothing filter to achieve, to achieve an image processing filter, and filter their own filtering of the experimental results with the use of Matlab functions to compare the results of filtering. Platform: |
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Author:amy |
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Description: 基于Matlab的高斯混合模型的算法实现，该程序可以实现对图像处理的功能-Matlab based on the Gaussian mixture model algorithm, the program can achieve the functions of image processing Platform: |
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Author:geyu |
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Description: This toolkit has two main purposes.
1. Decomposition and visualization of paraxial beams in Hermite-Gaussian and Laguerre-Gaussian bases. (These functions are located in the subdirectory "transverse.")
2. Propagation of such beams through optical systems including two-mirror fabry-perot cavities. (These functions are located in the subdirectory "axial." Platform: |
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Author:mitko |
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Description: MATLAB医学影像处理实验(内含14个原代码及教学的说明)
(1)Plot a sine function using MATLAB, and write the data into a file
(2)Read data from a file, plot a SINC function, and append the result back to the same file
(3)Plot a Gaussian distribution using MATLAB
(4)Fourier transform of a square function is a SINC function
(5)1-D low-pass filters and their point-spread functions
(6)2-D low-pass filters and their point-spread functions
(7)Fourier Transform of circles and an ellipse
(8)Image rotation and magnification
(9)MR k-space data reconstruction and low-pass filter
(10)Display an image in gray level
(11)Display an image in color
(12)Region of interest selection and display
(13)Cross correlation between temperature and humidity
(14)Independent component analysis of mixed music files -MATLAB Medical Image Process Experiments (including 14 source code and course documents)
(1)Plot a sine function using MATLAB, and write the data into a file
(2)Read data from a file, plot a SINC function, and append the result back to the same file
(3)Plot a Gaussian distribution using MATLAB
(4)Fourier transform of a square function is a SINC function
(5)1-D low-pass filters and their point-spread functions
(6)2-D low-pass filters and their point-spread functions
(7)Fourier Transform of circles and an ellipse
(8)Image rotation and magnification
(9)MR k-space data reconstruction and low-pass filter
(10)Display an image in gray level
(11)Display an image in color
(12)Region of interest selection and display
(13)Cross correlation between temperature and humidity
(14)Independent component analysis of mixed music files Platform: |
Size: 2280448 |
Author:江儜昶 |
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Description: 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 Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data. Platform: |
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Author:ning |
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Description: 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. Platform: |
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Author:ruso |
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Description: 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,数值实验表明所提出算法解决复杂动态多目标优化问题具有较大
潜力.-:A dynamic multi-objective immune optimization algorithm suitable for dynamic multi-objective
optimization problems is proposed based on the functions of adaptive learning, immune memory, antibody
diversity and dynamic balance maintenance, etc. In the design of the algorithm, the scheme of antibody af-
finity was designed based on the locations of adaptive-neighborhood and antibody antibodies participating
in evolution were selected by Pareto dominance. In order to enhance the average affinity of the population,
clonal proliferation and adaptive Gaussian mutation were adopted to evolve excellent antibodies. Further-
more, the average linkage method and several functions of immune memory and dynamic balance mainte-
nance were used to design environmental recognition rules and the memory pool. The proposed algorithm
was compared against several popular multi-objective algorithms by means of three different kinds of dy-
namic multi-objective benchmark problems. Simulations show Platform: |
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Author:王飞 |
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Description: Radial basis functions are used for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
The package also calculates line integrals between two points.
For more information, see blog.nutaksas.com for academic papers.
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Author:ssss |
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Description: The toolbox contains functions to estimate and simulate multivariate copula GARCH models and Copula Vines.
Supported copulas are the Gaussian and the T Copula. For the dynamic correlations, various specifications are supported.
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Author:qq |
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Description: 分数阶傅里叶变换
On Higher Order Approximations for Hermite–Gaussian Functions and Discrete Fractional Fourier Transforms-On Higher Order Approximations for Hermite–Gaussian Functions and Discrete Fractional Fourier Transforms Platform: |
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Author:wang |
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Description: Gaussian Filter with example
The functions used in the main.m file
Function d2gauss.m:
This function returns a 2D Gaussian filter with size n1*n2 theta is
the angle that the filter rotated counter clockwise and sigma1 and sigma2 are the standard deviation of the Gaussian functions.-Gaussian Filter with example
The functions used in the main.m file
Function d2gauss.m:
This function returns a 2D Gaussian filter with size n1*n2 theta is
the angle that the filter rotated counter clockwise and sigma1 and sigma2 are the standard deviation of the Gaussian functions. Platform: |
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Author:ALEX |
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Search - Gaussian functions