matlab_order

最新matpower 5.01工具箱，可以进行潮流、最优潮流、时域仿真等一系列计算。功能十分强大，并且内部有多个IEEE n节点的电力系统模型(The new Matpower 5.01 toolbox, can flow, optimal power flow, the time domain simulation and a series of calculation. Function is very powerful, and the internal power systems with multiple IEEE N node model)

希望大家能做到保密，因为这里关于航迹的许多东西都是相当宝贵的，如果还有别的需要可以单独发邮件给我(I hope everyone shuld be confidential,because there are so many valuable codes,you can keep touch with me by Email for other needs)

两个轨道计算的子程序，四元素乘积计算法和空间轨道动力学方程递推的扩展卡尔曼滤波算法。(Calculation subroutine two tracks, the four elements of the product of calculation and orbital dynamics space equation recursive extended Kalman filter algorithm.)

QR码作为一种可高速、全方位识别的二维条码,已经在各行各业中得到了应用,并具有很大发展潜力.本文针对QR码图像的识别过程中可能遇到的图像噪声干扰、QR码占实际拍摄图像的一部分、倾斜、几何失真等问题进行了研究,提出了通过改进型中值滤波去除噪声,使用QR码符号特性定位并对倾斜图像进行旋转,对失真不严重的图像采用控制点变换和双线性插值方法进行几何校正.实验证明, 本文的方法简单有效, 可以用于提高条码的正确识别率.(As a high-speed, full identification of the two-dimensional bar code, QR code has been applied in all walks of life, and also has great potential for development. In this paper, aiming at QR code image recognition process may be encountered in noise interference, QR code accounting for the actual captured image just a part, slant, geometric distortion, and other issues have been studied, put forward through improved median filter to remove noise, use QR code symbol characteristics to locate and rotate the tilted image, distortion which is not serious use control-point transform and spatial bilinear interpolation method for geometric correction. The results show that this method is simple and effective, can be used to improve the QR code correct recognition rate.)

菲尔德网络知识，对神经网络只是大大的补充，该算法应用很广。(Rumsfeld network knowledge, the neural network is greatly supplement, the algorithm is widely used.)

Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubechie fucntion used (must be even). block: size of neighborhood within each undecimated subband. noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise) parent: are we including the coefficient at the central location at the next coarser scale? covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Javier Portilla, Univ. de Granada, 3/03 Revised: 11/04

用区域增长算法来进行图像分割，图像二值化，是很好的分割算法(With the region growing algorithm for image segmentation, image binarization, is a very good segmentation)

用遗传算法优化神经网络权值的工具箱，很好用。解决神经网络全局收敛问题，训练速度快(genetic algorithm optimization neural network toolbox value of the right to good use. Neural network address global convergence, speed training)

说明：  将分类识别的结果用混淆矩阵的形式表现出来(The results of classification and recognition are expressed in the form of confusion matrix)

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