Car_Speed_Control

用labview软件进行仿真，提取特征值，便于在神经网络中应用，这是用labview做的，很有用。(Labview simulation software used to extract characteristic values, to facilitate the application of neural network, which is used labview do, very useful.)

PLO definition and graphical results

Local Standard Deviation Max used for Image enhancement

Mode locked lasers fiber code, I run it from appendix but its not working. Although I tried a lot to get it resolved. .m files are enclosed.

最新的LTE上行链路链路级仿真平台，里面有操作步骤，很方便使用，对于LTE上行链路通信过程的研究十分有用。(The latest LTE uplink link level simulation platform)

包含了阵列信号处理的常见算法，合成孔径雷达（SAR)目标成像仿真，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( Contains a common array signal processing algorithm, Synthetic Aperture Radar (SAR) imaging simulation target, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

说明：  利用matlab软件编写的格子玻尔兹曼方法模拟的圆柱绕流问题，并实现了可视化(The flow around the cylinder is simulated by lattice Boltzmann method compiled by MATLAB software, and the visualization is realized)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

MT 6223 GSM GPRS Baseband Processor Technical Brief

通过调整转轴转速生成振动信号并对其进行功率谱分析(Speed ​ ​ vibration signal generated by adjusting the shaft and its power spectrum analysis)