搜索资源列表
chs-zdwc-fir-gbs
- 包括用窗函数法和最大误差最小化准则设计的FIR低通数字滤波器,并分析加矩形窗时的吉布斯现象(matlab程序)。从仿真结果可看出:采用最大误差最小化准则能得到阶数更低,阻带波纹特性更好的FIR低通滤波器,因此其效果更优。-Including the use of window function method and the maximum error criterion designed to minimize the FIR low-pass digital filter, and analy
mc
- monto carlo ising simulation-simulation
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- 用平移变换平移法(cycle_spinning)消除gibbs效应。小波模极大值用于边缘提取。-Denoising program using wavelet transform and cycle-spinning.Edge detection for 2-D image using wavelet maxima.
BayesianCoSegmentationOfMultipleMRImages
- 分割是在MRI analysis.We的基本问题之一,同时考虑了多种MR图像分割,其中,例如,可能是一个系列的问题经过一段时间的扫描相同的组织(的2D/3D)图像,图像的数量,或不同的切片图像的对称部分。 MR图像的多是分割份额常见的结构信息,因此他们可以协助彼此分割的程序。我们提出了一个贝叶斯共同分割算法在共享的信息整个图像是通过利用马尔可夫随机场前,和吉布斯采样后采样是有效的聘用。由于我们的共同拉动分割算法考虑到所有的图像信息的同时,它提供比个人更准确和坚实的结果分割,如支持从模拟和实际结果
OpenBUGS
- 这是国外研究Gibbs采样和Bayesian推理的研究人员写的工具包软件,最新版本为V1.4.3。很适合研究机器学习及其贝叶斯推理的科研人员使用。-The BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian analysis of complex statistical models using Markov chain Monte
Thermal_Analysis
- 热力学分析程序,以Gibbs最小自由能法原理为基础,可以针对不同化学反应在不同条件下的平衡状态进行预测。-Thermal Analysis
GibbsLDA0.2.tar
- GibbsLDA 的源码,采用gibbs采样来实现LDA算法。-GibbsLDA source, using gibbs sampling to achieve the LDA algorithm.
main3
- An example that illustrates the importance of shift-invariance is image denoising by thresholding where the lack of shift-invariance causes pseudo-Gibbs phenomena around singularities.In addition to shift-invariance, it has been recognized that a
myfirst1
- 实现吉布斯采样,可用来处理文本,对文本聚类,分析文本主题,请用vs2010打开-Achieve Gibbs sampling, can be used to handle text, text clustering, analysis of text themes
Gibbs_Phenomena_CFST
- 离散傅里叶变换中的吉布斯效应。这里分别讨论了CFST和CFT两种情况,程序可以直接调用-Discrete Fourier transform of the Gibbs effect. Are discussed here, two cases CFST and CFT, the program can directly call
Hammersley-Clifford
- 研究马尔科夫随机场和吉布斯随机场之间关系的文章,有严格的推理-Of Markov random fields and Gibbs random relationship between the articles, there are strict reasoning
Hammersley-Clifford_Theorem
- 研究马尔科夫随机场和吉布斯随机场理论之间关系的文章,有严格的推理。希望对大家有用-Of Markov random fields and Gibbs random field theory of the relationship between the articles, there are strict reasoning. Hope to useful
BVAR_Gibbs
- 贝叶斯分析,比较复杂的自回归分析。VAR模型,注意比AR要先进的多!-Bayesian estimation, prediction and impulse response analysis in VAR models using the Gibbs sampler.
2dgaussian
- 汽车高斯曲面拟合 --- 2程序,以适应到表面二维高斯: 子= A *的进出口( -((西为X0)^2/2/sigmax^2 +(艺Y0的)^2/2/sigmay^ 2)。。)+ b的 这些例程是自动在某种意义上说,他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML(十一,彝,子)适合通过对模型参数的最大似然(最小二乘)。它首先计算了该模型在许多可能的参数值,然后选择最佳质量设置和细化与lsqcurvefit它。 auto
Untitled6
- it is to explain gibbs phenomenon
a
- 平移变换平移法(cycle_spinning)消除gibbs效应,相当有用的程序-The translation of the translation transform method eliminate gibbs effect
example1
- Metropolis within Gibbs sampling
Markov-Chain-Monte-Carlo
- Markov Chain Monte Carlo and gibbs sampling
Markov-Random-Field-Model
- 主要介绍了MRF在图像分析中的应用,如吉普斯采样、马尔科夫场及基于像素级的MRF分割-Mainly introduces the MRF application in image analysis, such as Gibbs sampling, Marco field and based on the pixel level MRF segmentation
pybblyzf
- 利用平移不变量发,实现小波阈值去噪,能够有效的消去伪吉布斯现象,利于后续的特征点提取。-The use of translation invariant issued to wavelet threshold denoising can effectively eliminate the Gibbs phenomenon, and conducive to the subsequent feature point extraction.