Michelson-interferometer-simulation

TCSC可控串联补偿装置simulink仿真(TCSC controllable series compensation device simulink simulation routine)

对卷积码进行译码MATLAB仿真，Hard Decision Viterbi Decoder(Decoding convolutional codes of MATLAB simulation, Hard Decision Viterbi Decoder)

辐射边界和定温边界条件下，二维矩形平板的温度场数值模拟。(Radiation boundary and constant temperature boundary conditions, two-dimensional rectangular plate temperature field numerical simulation.)

降维工具箱，有PCA，LDA等等比较全面，里面有说明。(Dimensionality reduction toolbox, PCA, LDA, and so a more comprehensive, there are instructions.)

香浓法诺matlab下的编码解码，完美可用，没有调用matlab下函数(Shannon Fano coding under matlab decode, perfect can not call the matlab function under)

说明：  本文对指纹特征点的提取，特征点的匹配，用matlab进行了实现(In this paper, the fingerprint feature points extraction, feature point matching, was realized with matlab)

这段源程序是用来计算火箭发动机的高度特性。(to calculate the height of the rocket engine.)

Orthogonal frequency division multiplexing (OFDM) is becoming the chosen modulation technique for wireless communications. OFDM can provide large data rates with sufficient robustness to radio channel impairments. Many research centers in the world have specialized teams working in the optimization of OFDM for countless applications. Here, at the Georgia Institute of Technology, one of such teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part of the Georgia Center for Advanced Telecommunications Technology (GCATT). The purpose of this report is to provide Matlab code to simulate the basic processing involved in the generation and reception of an OFDM signal in a physical channel and to provide a description of each of the steps involved. For this purpose, we shall use, as an example, one of the proposed OFDM signals of the Digital Video Broadcasting (DVB) standard for the European terrestrial digital television (DTV) service.

说明：  工程实际中的许多优化问题是多目标的优化设计问题。通常情况下多个目标是处于冲突状态的,不存在一个最优设计使所有的目标同时达到最优,一个目标性能的改善,往往以其它一个或多个目标性能的降低为代价。无论采用自适应遗传算法还是其它在标准遗传算法基础上经过改进的遗传算法,如果采用加权组合法等将多目标转化为单目标的处理方法,就无法充分发挥遗传算法的优势。如果把遗传 算法与适用于多目标处理的几此协方法相结合,就能完全发挥遗传算法在多目标优化设计中的作用。(Many optimization problems in engineering practice are multi-objective optimization design problems. Generally, multiple goals are in conflict. There is no one optimal design to achieve all goals simultaneously. The improvement of one goal's performance is often at the expense of the performance of one or more other goals. Whether adaptive genetic algorithm or other improved genetic algorithm based on standard genetic algorithm is adopted, if weighted combination method is adopted to transform multi-objective into single-objective processing method, the advantages of genetic algorithm cannot be fully utilized. If the genetic algorithm is combined with several cooperative methods suitable for multi-objective processing, the role of genetic algorithm in multi-objective optimal design can be fully exerted.)

在matlab环境中利用遗传算法解决旅行商问题。(In the matlab environment, the use of genetic algorithm to solve the traveling salesman problem.)