numberclassfy

说明：  一种核密度估计，或者称作带宽选择的方法，可以估计二维尺度参数，至于多维以上的估计方法尚在开发，多维情况下个人经验好的方法是多次实验取较好值(kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensional cases, personal experience is to do the experiment many times)

用Romberg法求积分计算准确，while循环次数一般不超过10，运算较为方便、快捷；计算之前，需要给出所求函数的表达式，积分上限和下限以及误差范围。运用MATTLAB程序求解积分省时、省力。(用Romberg法求积分计算准确，while循环次数一般不超过10，运算较为方便、快捷；计算之前，需要给出所求函数的表达式，积分上限和下限以及误差范围。运用MATTLAB程序求解积分省时、省力。用Romberg法求积分计算准确，while循环次数一般不超过10，运算较为方便、快捷；计算之前，需要给出所求函数的表达式，积分上限和下限以及误差范围。运用MATTLAB程序求解积分省时、省力。自动检测中英文中译英英译中百度翻译. 翻译结果（中 > 英）复制结果 Using Romberg method for integral calculation accuracy, while cycle number less than 10, operation more convenient, fast calculation before, given the need for function expression, integral upper and lower as well as the error range. Using MATTLAB program to solve the integral time saving, labor saving.)

边界元算法求解正方形导热问题实例。一个简单的二维导热模型，用BEM算法求解，用于学习边界元编程。(Boundary element method for solving square conduction problem instances. A simple two-dimensional heat conduction model, using BEM algorithm for learning boundary element programming.)

在matlab上面实现lms算法的一些功能验证(matlab lms )

完整的HHT程序，可以直接复制到MATLAB中运行，标有注释，方便查看( 您是不是要找： 完整的FFT程序,可以直接复制到MATLAB中运行,标有注释,方便查看 HHT complete program can be copied directly into MATLAB run, marked notes for easy viewing)

说明：  NN neural network for face recognition supervised feed forward back propagation neural network

PCA algorithm in matlab

基于灰度共生矩阵的图像特征提取,包括熵、相关性、标准差及方差(Image feature extraction based on GLCM，including entropy, correlation, standard deviation and variance)

国外经典的雷达系统设计书籍：MATLAB Simulations for Radar Systems design.pdf 内有大量MATlAB仿真代码，对雷达信号检测与估计研究方向的人员很有帮助(The classic design of radar systems of foreign books: MATLAB Simulations for Radar Systems design.pdf there are a lot of MATlAB simulation code, the radar signal detection and estimation of the direction of the staff very helpful)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)