pcm

球形粒子Mie 散射用Matlab编写的Mie theory计算程序(Mie scattering of spherical particles with a Matlab computer program written in Mie theory)

MATLAB LabVIEW SystemView 仿真分析(MATLAB LabVIEW SystemView SIMULATION)

text to speech using the matlab

说明：  比较了FFT算法和低通滤波器在去除噪声中的作用(compared the FFT algorithm and low-pass filter to remove noise in the role)

hacking the art of exploitation good thorough book about hacking

智能天线自适应算法，该算法是基于DOA分解的MVDR算法。(Smart antenna adaptive algorithm that is based on the the DOA decomposition MVDR algorithm.)

Gauss-Seidel function with example

利用matlab产生 GPS现代化、北斗中 常用的 BOC调制信号（二进制偏移调制信号）。(The use of MATLAB to produce GPS modernization, Beidou commonly used BOC modulation signal (binary offset modulation signal).)

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 )

与matlab宝典一书配套的源代码，里面包含了书上相应章节的源代码文件(Matlab canon book supporting source code, which contains the source code file of the corresponding chapter in the book)