模型

此程序用来求解水膜蒸发过程温度分布，蒸发率等参数。(This program is used for numerically calculating the temperature distribution and evaporation rate during the evaporation of a water film.)

利用Matlab实现AES，其中包括了AES中的主要算法理解，以及逐步实现AES加密过程的方法和步骤。(the implementation of AES)

kalman滤波实验，目标轨迹跟踪，很好用的例子，供大家学习用(kalman filtering experiments, the target trajectory tracking, with a good example for all to learn)

这是一个用matlab实现0到9数字的识别，先生成每个数字的10个模板，再进行数字识别。(This is a matlab implementation to use the identification numbers 0 to 9, sir, as per figures 10 templates, and then for digital identification.)

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

matlab实现模式识别中fisher判别，并显示判别结果(matlab achieve pattern recognition fisher discriminant and display the result of the discrimination)

说明：  卡尔曼滤波在目标跟踪中应用仿真研究。目标跟踪是卡尔曼滤波的主要应用领域，进一步 加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点， 掌握卡尔曼滤波算法应用研究的基本步骤和方法。(The application of Kalman filter in target tracking is simulated. Target tracking is the main application area of Kalman filter. To deepen the understanding of Kalman filter algorithm and understand the basic characteristics of Kalman filter algorithm. Grasp the basic steps and methods of Kalman filtering algorithm application research.)

Matlab雷达工具箱，实现雷达信号处理的各种功能。(Matlab toolbox radar, radar signal processing implementation of the various functions.)

彩色噪声图像的curvelet基下的增强，高斯白噪声，显示不仅去噪且增强效果好(Color noise images curvelet based enhancement under the Gaussian white noise, showing not only a good denoising and enhancement)

《MATLAB图像处理实例详解》源代码 第 12章 ( MATLAB image processing example explanation Source Code Chapter)