MatrixPilot_2_5_1

一个ADS-B系统报文结构的仿真程序，可以生成ADS标准下得各种报文(ADS-B system, a message structure of the simulation program, ADS can be generated under the standard have a variety of messages)

原为某课大作业，改进的决策树函数，使用matlab对ID3决策树算法进行了重现。支持树的建立，打印和使用。附带部分注解(A rewrite of decision tree in matlab.)

深海声道声线图绘制程序，仿真绘制深海声传播图形；并设计了可更改参数的图表及清零功能。(Deepwater channel sound line drawing program, drawing deep sea sound propagation simulation graphics and designed charts and clear function can change the parameters.)

kernel PCA feature extraction

matlab中LFM信号的源程序。经过仿真验证 (matlab source code in the LFM signal. After simulation)

说明：  梯度法是最优化方法中由于球多变量最优值的一种方法(Gradient method is the most optimal method of multi-variable optimal value due to the ball a way of)

matlab fir chebshev LPF

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)

说明：  svdd分类 用matlab实现的svdd算法 挺好用的(Svdd classification svdd algorithm implemented with matlab is very easy to use)

One of Biometrics fields is face recognition & face expression recognition ... 1- In face recognition .. we need to design authentication program by training a neural network ,there are two source codes..one of them is based on Discrete Wavelet Transform with Perceptron Neural Network.. and the other based on Discrete Cosine Transform with Perceptron Neural Network ... 2- In face expression recognition .. we defined the condition of the person (nature,happiness,disgust or anger) this source code is based on Principle component analysis(PCA) .. * we need to now about digital image processing ,neural network and PCA...