pso

一种目前最流行的人脸识别算法程序，利用的是特征脸识别算法，程序简单，每行都有注释(A face recognition is currently the most popular algorithm procedures, take advantage of the features of the face recognition algorithm, the procedure is simple, there are notes on each line)

利用MATLAB语言实现生命规则在元胞自动机模型下的模拟(The use of MATLAB language implementation rules of life under the Cellular Automata Simulation)

CAPON谱估计方法的matlab源代码，已经通过验证了(CAPON spectral estimation methods matlab source code has been validated by)

风力发电空载运行实施并网控制S函数优化代码，实现了风力发电空载运行时发电机模型的M语言编程 (Wind Power Generation Operation and Network Control S functions implementing optimized code and realized the wind power generator no-load run-time programming model M)

一、 牛顿－拉夫逊法概要 首先对一般的牛顿－拉夫逊法作一简单说明。已知一个变量X的函数 （4－6） 解此方程式时，由适当的近似值X（0）出发，根据 （4－7） 反复进行计算，当X（n）满足适当的收敛判定条件时就是（4－6）式的根。这样的方法就是所谓的牛顿－拉夫逊法。 式（4－7）就是取第n次近似解X（n）在曲线 上的点 处的切线与X轴的交点作下一次X（n+1）值的方法。参考图4－2（a）。在这一方法中为了能收敛于真解，初值X（0）的选取及函数f（X）必须满足适当的条件，如图4－2（b）所示的那种情况就不能收敛或收敛到别的根上去。 这一方法还可以做下面的解释，设第n次迭代得到的解与真值之差，即 的误差为 时，则 （4-8） 把 在 附近对 用泰勒级数展开 （4-9） 上式略去 以下的项 （4-10） 的误差可近似由上式计算出来 图4-2 （4-11） 比较式（4-7）和（4-11），可以看出牛顿-拉夫逊法的修正量和 的误差的一次项相等。 用同样的方法考虑，给出对n个变量 (:Because of the importance and complexity of power system, better algorithm and programme language is very important . An interior point method based on the perturbed Karush2Kuhn2Tucker (KKT) condition is pre2 sented in this paper , where the method and process for the optimal power flow is treated through the Matlab’s symbolic math toolbox and Mfunction is also presented. Using the symbolic code , it can improve the adaptability of the programme dramatically. The advantage is that , what we need to do is change the model expression. We can make use of the symbolic programme to check our programme while we write the Mfunctions. Using the Mat2 lab , we find the optimal solutions and calculate quickly and efficiently. It has proposed the powerful and unique functions of Matlab in the optimization and calculation for power system. Key words :power system symbolic calculation optimal power flow interior point method)

精通MATLAB_GUI设计,里面是源程序代码(Versed in MATLAB_GUI design, which is the source code)

polynomial rootfinding with Laguerre s method

说明：  高光谱各个谱段的相关性系数 correlation coefficient of highspectral image(correlation coefficient of highspectral image)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

基于哈小波的图像稀疏分解与重构。并进行MATLAB仿真。图像为经典lena图像(Image sparse decomposition and reconstruction based on wavelet. And the MATLAB simulation. The classic image to Lena image)