apf_p_q_3p_3l

plot graph in Mallab

利用基于直方图的自适应阈值方法实现分割前景与背景(The use of adaptive threshold method of histogram based segmentation of foreground and background)

edge detection for road edge

二次规划为非线性规划的一种，若某非线性规划的目标函数为自变量x 的二次函数，约束条件又全是线性的，就称这种规划为二次规划。 (Quadratic programming as a nonlinear programming, if the objective function of a nonlinear programming quadratic function as independent variable x, and the constraints are all linear, call this plan for quadratic programming.)

These files gives information of unified power flow control

这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。 (This is a relatively complete simulation of OFDM communication system design, including coding, modulation, IFFT, the upper and lower frequency, Gaussian channel model, FFT, PAPR suppression, a variety of synchronization, demodulation and decoding module, and system performance omnibus simulation of the system reliability.)

基于MATLAB的语音信号分析与处理，包括检查滤波及GUI的设计。(digital signal processing based on 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 )

说明：  matlab教程电子书，很详细，适合初学者使用(matlab tutorial books, in great detail, suitable for beginners to use)

基于Simulink实现的ASK,FSK,PSK，调制解调(ASK, FSK, PSK, modulation and demodulation based on Simulink implementation)