matlab-Trans

matlab编程完成一GPS网的平差计算。起算数据见文件“起算数据.TXT”；GPS网略图见“网图.jpg”；基线向量观测值和方差见“基线.bas”。根据已知起算数据和观测值建立数学模型并进行最小二乘平差计算和精度评定。代码和计算结果在实习报告中也已详细列出。(matlab program to complete a GPS network adjustment calculation. Initial data the document entitled " Initial Data. TXT" GPS network sketch map, see " Map. Jpg" baseline vector and the variance of observations, see the " baseline. Bas" . According to initial data and observations of known mathematical model and the least squares calculation and accuracy evaluation. Code and report the results in practice have also been detailed.)

dwt数字图像水印源代码，小波变换数字水印(dwt source digital image watermarking)

在matlab中，利用神经网络的学习小程序(In matlab, using neural network learning applet)

仿真产生OFDM信号；通过信道；实现解调。子载波用16QAM调制。(Simulation generate OFDM signals through the channel achieve demodulation. Subcarriers with 16QAM modulation.)

说明：  设计中心波长在1550nm,光栅长度、折射率调制深度等可调，可以仿真出FBG的透射谱(The design center wavelength is 1550 nm. The grating length and refractive index modulation depth can be adjusted.The transmission spectrum of FBG can be simulated.)

说明：  基于粒子群优化算法的模糊c聚类源码，matlab类型(Fuzzy c-cluster source code based on particle swarm optimization algorithm, matlab type)

基于haari小波变换程序，程序中对彩色和灰度图像均可作处理。(Wavelet transform based on haari procedures, procedures for color and grayscale images can be handled.)

matlab/simulink环境中关于DFIG原理介绍和建模与仿真(matlab/simulink environment on the introduction of the principle of DFIG and Modeling and Simulation)

遗传算法求旅行商，送货商，邮递员，灾情巡视等问题，是一种近似算法。(Genetic algorithm to solve the traveling salesman, delivery companies, mail carriers, disaster inspections and other issues, is an approximation algorithm.)

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.(particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.)