CBA

这是一个在ＶＣ环境下实现动态图形变化的例子，里面包含各种类型的曲线图，相信对学习用ＶＣ画图功能的读者会有很大的帮助(This is a VC environment in the realization of dynamic graphics examples of changes, which contains various types of curves, I believe that learning to use drawing functions VC readers will be of great help)

数字图像处理中的小波去噪代码！ 希望对大家有用 matlab(Digital image processing in the wavelet de-noising code! Want to be useful to everyone matlab)

几种不同阈值去噪方法的程序仿真代码，可以很好的进行消噪。( kings of THR denoising)

带有裂缝的动力分析模型，采用abaqus软件建模(Dynamic analysis model with cracks, software modeling using abaqus)

采用行均值相减法抑制温度场的非线性影响，增强目标点，利用形态学方法抑制背景并保留高亮区，搜索局部极大值，利用阈值分离出目标，实现红外点目标的检测(enhancement of point target are carried out by inhibiting nonlinear influence in temperature field with line average subtracting，Inhibiting background and maintaining high brightness area are implemented by using Top-Hat operator morphological filtering，then The targets are separated off from searching for local maximum。this program realize the detection the infrared small target)

扩展的卡尔曼滤波算法 可用该程序实现对已有模型的估计 从而得到更准确的结果(Extended Kalman filter algorithm can be used to achieve the existing model of the program is estimated to obtain more accurate results)

有关 层次分析法的 小程序 有需要下载 请下载 (The analytic hierarchy process (ahp) of small programs)

说明：  基础的AOA角度估计算法，MUSIC算法，适用于均匀阵列(Basic AOA Angle Estimation Algorithms, MUSIC Algorithms, Suitable for Uniform Arrays)

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)

基于卡尔曼滤波的目标轨迹跟踪预测 最优化自回归数据处理算法(Kalman filter based tracking target trajectory optimization autoregression forecasting data processing algorithms)