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说明：  Melvin所著的对于STAP（空时自适应信号处理）领域的概述文章，对了解STAP有很大帮助。(Melvin book of the STAP (space-time adaptive signal processing) an overview of the field of articles of great help in understanding the STAP.)

基于高斯过程的贝叶斯分类,详细介绍了高斯过程(Bayesian Classification With Gaussian Processes)

lms source code for adaptive filtering the acoustic noise.

灰度图转换，可以把彩色图片转换为灰度图片。并进行计算(Grayscale conversion, color images can be converted to gray-scale image. And calculated)

说明：  小波变换的条件限制的实现的编程，可以更好设计优化问题(wavelet transform constraints on the realization of the program, we can better design optimization problems)

水平集分割算法，matlab实现。自动初始化方形轮廓线。分割后自对图像上分离的目标进行计数。(Level set segmentation algorithm, implemented by matlab. Automatic initialization square contour. )

电池全寿命加速老化试验的采集数据。在不同温度下的充电和放电下完成。数据格式为matlab的mat，文件里面有详细的实验数据说明，希望对研究电池寿命预测和诊断的同志有帮助。(Battery life-accelerated aging test data collection. At different temperatures to complete the charging and discharging. The data format is the matlab mat, which has detailed documentation of the experimental data shows that the hope of battery life prediction and diagnosis to help comrades.)

Power system load flow 5bus system

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

f-p传感解调 matlab仿真代码得到光源的干涉图和光谱图(f-psensing demodulation matlab simulation code to get interferogram and spectra of the light source)