mlp_tanker

用阵列光电传感器实现空间窄带陷波功能时，采用右图所示的空间权重结构：共有N=2M+1个敏感元件，各敏感元件宽为w，间距为p，中心处敏感元件的权重为+2M，其他2M个敏感元件的权重皆为-1。求此权重函数的傅立叶变换及空间功率谱，并绘图说明当N=7，p=1mm，w=1/３mm时的空间功率谱的零点特征及其应用意义。(With a photoelectric sensor array to achieve narrow-band notch function space, with the weight shown on the right of the space structure: a total of N = 2M+1 a sensitive element, the sensor width w, spacing p, the center of the sensitive components of weight+2 M, 2M a sensitive element of the other weights are all-1. This function find the Fourier transform of the weight and space power spectrum, and the drawing shows that when N = 7, p = 1mm, w = 1/3mm space power spectrum at zero characteristics and application significance.)

this function is based on evolutionary algorithm for finding the optimal solution for multiple objective i.e. pareto front for the objectives.

mtpa+弱磁+PI控制 PMSM电机控制(mtpa + field weakening + PI control PMSM motor control)

计算方法设计求解线性方程组的追赶法的matlab程序，是自己的计算方法作业，有详细的注解(Method designed for solving linear equations matlab program catch-up method, the calculation of their own work, with detailed comments)

采用两种不同的数学方法进行处理。推导出两对角线方程和块状两对角线方程,提出了两种相应的数值计算方法。本文的方法具有对初值要求不高和收敛迅速的特点(The model equations of the multicomponent multistage adiabatic flash process are handled by two different mathematical methods in the forms of di-diagonal matrix equation and block di-diagonal matrix equation, and the two new algorithms are developed. The numerical calculation shows that the new algorithms process has the features of being more rapid to convergency and less sensitive to the initial values)

matlab反射波正演模拟，学姐编的小程序，欢迎交流(matlab reflected wave forward modeling, sister compiled a small program, please share)

MOPSO算法有详细说明，能够良好运行，出pareto图(MOPSO algorithm is described in detail, able to run well, generate the Pareto Diagram)

采用功率谱方式并用AR线性滤波方法生成脉动风速时程数据，能用于结构风载荷的计算。(Using power spectrum and AR linear filtering method to generate fluctuating wind speed time series data, can be used in structure wind load calculation.)

联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法(the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was proposed)

在matlab环境下，基于RGB，HSV模型的图像检索技术(In the matlab envirament , picture find based on the RGB and HSV model)