OFDM_in_Multipath_Matlab_model

超分辨率重建（即，将低分辨率图片进行插值光滑，放大其分辨率，得到清晰的图像），matlab程序。(Super-resolution reconstruction (ie, the low-resolution pictures smooth interpolation amplify the resolution to get a clear image), Matlab program.)

this code uses inverse linear interpolation method to solve non linear equation but with the tolerance specified .

sonar demo using matlab

圆孔序列大小为15umX30nm，形成半周期的光栅，(Array of circular holes, about 15umX30nm, flanked by gratings, with half the periodicity of the hole array)

说明：  一种lms算法的matlab源程序，是word文本打开。(a LMS algorithm Matlab source, the text is word open.)

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)

MATLAB与PSCAD联合仿真实例,包括 hvdc_fourier、hyst_plot、phasor、three_dim_plot等(The Co-Simulation of MATLAB and PSCAD，including hvdc_fourier、hyst_plot、phasor、three_dim_plot.)

研究并分析了B P神经网络的结构和特点，针对不足之处提出改进方法。在改进的基础 上建立神经网络软件可靠性新模型。通过MATL AB仿真工具进行了实例仿真，证实该新模型比传统 模型预测精度高，泛化能力强(Research and analysis of the structure and characteristics of BP neural network, an improved method for the shortcomings. In the modified base The establishment of a new model of neural network software reliability. By MATL AB simulation tool was simulated, confirmed that the new model than the traditional Model predicts high precision, strong generalization ability)

对K-means聚类算法的改进X-means算法。针对K值如何设定的问题，利用BIC准则判断聚类点数量。同时附有两个初始聚类点的选择程序，自己选吧。(The improved X-means algorithm for K-means clustering algorithm. In view of the problem of how to set the K value, the number of clustering points is judged by the BIC criterion. At the same time, there are two initial clustering points of the selection program, choose it yourself.)

demo maltab PRLQG - control theory