RDDataFun

海伦方程下的ＭＡＴＬＡＢ仿真细直导线的基本参数数据图(Helen equation under the thin straight wire MATLAB simulation of the basic parameters of the data graph)

使用Matlab编写的一个dijkstra算法，非常的实际好用(Written using Matlab a dijkstra algorithm, a very practical easy to use)

IMAGE COMPRESSION USING WAVELET TRANSFORM

粒子群算法求解旅行商问题的MATLAB源代码(MATLAB source code of the PSO algorithm for solving the traveling salesman problem)

AN MATLAB DESIGN OF PV ARRAY

自己编的基于霍夫曼编码以及解码的程序，供大家分享(Own compilation based on Huffman coding and decoding procedures for share)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

excitation generatrice asychrone

利用透镜成像理论建立摄像机数学模型, 提出了一种线性求解摄像机内外参数的方法。该方 法特点是采用主动发光的光点阵列标定靶,利用2D 标定靶的精确移动来实现基于3D 立体靶标的摄像 机标定的算法。(Lens imaging theory using mathematical models set up the camera, a camera inside and outside the parameters for solving linear approach. The method is characterized by active light-emitting points of light array calibration target, the use of 2D calibration target to achieve the precise mobile target based on stereo 3D camera calibration algorithms.)

mixed integer non linear programming