code-for-src

An Efficient Feature Extraction Algorithm for the Recognition of Handwritten Arabic Digits

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 introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

计算AR模型的参数，包括滤波、去趋势化、AIC判断阶数、计算AR模型系数。(Calculation AR model parameters, including filtering, detrended, AIC judgment order to calculate the AR model coefficients.)

用一种算法 利用matlab语言来编写视频跟踪程序(An algorithm using matlab language used to write the video tracking program)

smart grid document using electrical cars

采用symmetrized split-step method数值求解非线性薛定谔方程(Numerical solution of nonlinear Schrodinger equation by symmetrized split-step method)

基于PCA有监督kohonen网络的网络入侵聚类。里面包含有原代码和说明文件。(Based on PCA supervised kohonen network clustering network intrusion)

MSK最小相位信号调制解调，附有清晰的性能图，仿真可靠的好程序(MSK minimum phase signal modulation and demodulation, with clear performance graphs, a good and reliable simulation program)

SVM is one of the classification method that is very applicable in management.

SOLVE PROGRAM RBF Interpolation BY ICA