Information_within_the_MATLAB_software_training_pp

kohoenn neural network

实现复杂网络受随机攻击和蓄意攻击的仿真结果分析。(The simulation results of complex networks subjected to random attacks and deliberate attacks are analyzed.)

用matlab实现EM算法，进行聚类分析。(EM algorithm using matlab to achieve, for Cluster Analysis.)

说明：  最短路径算法的matlab实现,每条语句的都有详细的注释，可以供入门使用。(To achieve the shortest path algorithm matlab)

LMS和RLS的M文件源码，还有回应对消系统的LMS和RLS的M文件源码(LMS and RLS M-file source, and respond to cancellation system, the LMS and RLS M-file source)

OFDM调制与解调，其中数字调制方式为QPSK。(OFDM modulation and demodulation, the digital modulation method is QPSK.)

说明：  梅花生长仿真效果，使用C++和matlab实现(Plum growth simulation effect, the use of C++ And realize matlab)

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 )

压缩采样中各种贪婪算法性能的matlab仿真比较，包括LS-MP，OMP，WMP，硬阈算法。(Compression of various sampling greedy algorithm performance of matlab simulation comparison, including LS-MP, OMP, WMP, hard threshold algorithm)

SDV-Hop算法的工作主要体现在对平均每跳距离做了二次修正。(SDV-Hop algorithm is mainly reflected in the average distance per hop secondary correction.)