搜索资源列表
truetime-1.3
- 一个很棒的网络控制系统仿真软件，truetime工具箱包括TrueTime Computer与Truetime Network 两个接口模块。计算机模块具有灵活的实时内核，A/D和D/A转换器，网络接口和外部通道。计算机模块按照用户定义的任务执行，代码采用Matlab或C++编写。-a terrific network control system simulation software, truetime Toolbox including Computer and TrueTime True
kernel-ica1_0.tar
- The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast functio
truetime-1.13b-compiled
- 一个很棒的网络控制系统仿真软件，Truetime工具箱包括TrueTime Computer与Truetime Network 两个接口模块。计算机模块具有灵活的实时内核，A/D和D/A转换器，网络接口和外部通道。计算机模块按照用户定义的任务执行，代码采用Matlab或C++编写。-a terrific network control system simulation software, including Truetime Toolbox Truetime TrueTime Computer
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
KPLS
- 基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解-Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution
KDE
- 本文介绍了一种基于核函数的参数估计方法，对于初学者来讲很有帮助-kernel based estimation
SVM
- In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is in
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
rbfSVM
- 基于RBF径向基核函数实现SVM支撑矢量机算法，-SVM algorithm based on RBF kernel
kpca
- kernel based principal componenet analysis
Kernel-PCA
- 基于核方法的主成分分析matlab源代码，比较经典，推荐学习。-Method based on kernel principal component analysis matlab source code, more classic, recommended learning.
kernel-ICA
- The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast functio
NN00new.ps
- fast ICA kernel based algorithm
16-QAM_matlab_sim
- 用MATLAB实现16-QAM mapping，并利用Kernel实现16-QAM系统的误码率估计-16-QAM mapping realization using MATLAB, plus Kernel-based BER estimation for 16-QAM system
Sim_Fast_Tanner_Kernel_BER_estim
- 基于置信传播的QC-LDPC译码算法的MATLAB实现，同时使用Kernel算法估计BER-implementation of QC-LDPC deccoding using MATLAB. BER is estimated by Kernel-based algorithm.
classifier
- design and implement a classifier for two-class classifi cation problems by naive kernel-based nonlinear method (NKNM) and Afast kernel-based nonlinear method (FKNM).(data set : Fsolar)
Edge-based-text-region-extraction-from-natural-im
- The basic steps of the edge-based text extraction algorithm are given below 1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel and successively down-sample each direction by half. (Levels: 4) 2. Create directiona
Gaussian
- 通过 Gaussian kernel说明非线性回归分析的算法-Gaussian kernel smoother, Gaussian kernel-based linear regression, RBF kernel regression
KFCM
- 该代码是对文章Kernel-based fuzzy and possibilistic c-means clustering的实现(the code of Kernel-based fuzzy and possibilistic c-means clustering)
kafbox-1.4
- Kernel自适应滤波器算法是基于Kernels的在线自适应回归算法。非常适合非线性滤波，跟踪和回归。该工具箱包括算法，演示和性能比较工具(Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear r