Viscoelastic

文件里包括2个函数，实现gabor滤波器，参数可以由自己指定(gabor wavelet)

基于龙格库塔法的Matlab数值积分函数,每一步都非常清楚完整的解释出来(Based on the Runge-Kutta method of the Matlab numerical integration function, every step is very clear complete explanation out)

QPSK system simulation not working

一种高速卷积编码技术及其Viterbi译码技术研究(A high-speed convolutional coding and Viterbi decoding technology technology research)

说明：  如何用MATLAB编写有限元程序，对进行有限元开发有很大帮助。(How to write MATLAB finite element program, the development of the finite element of great help.)

利用matlab计算点飞行航程的教程 清晰易懂~(Calculation points using matlab tutorial flight from lucid ~)

TIN是一种常用的数字高程模型表示方式，这里是Delauney TIN 生成的源码.c(TIN is a regular and efficient represention of digital elevation mode, here is the code for creating delauney triangulate irregular network)

说明：  我把以前写的 C# 版的Rose 共享出来供别人学习参考。很具有学习参考价值主要涉及 GDI+ ,软件架构，和界面。对初学者很有帮助(I have previously written in C# Version of Rose shared out for others to learn from the reference. With learning reference value is mainly related to GDI+, Software architecture, and interface. Very helpful for beginners)

public interface CallbackHandler for Andriod.

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( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )