Poster-Krunal

A Matlab code to simulate an OFDM with zero padding

永磁同步直线电机数学模型仿真模块，基于d-q坐标下的(LPMSM mathematical model simulation modules, based on dq coordinates of)

用matlab编写的谱方法基本程序,相信对大家有用。(Some basic matlab programs on spetral methods)

ssinc窗函数对正弦信号加不同的窗函数进行性能比较(ssinc)

标准粒子群算法的实现思想基本按照粒子群算法(2) 标准的粒子群算法的讲述实现。主要分为3个函数。第一个函数为粒子群初始化函数 InitSwarm(SwarmSize......AdaptFunc)其主要作用是初始化粒子群的粒子，并设定粒子的速度、位置在一定的范围内。本函数所采用的数据结构如下所示： 表ParSwarm记录的是粒子的位置、速度与当前的适应度值，我们用W来表示位置，用V来代表速度，用F来代表当前的适应度值。在这里我们假设粒子个数为N，每个粒子的维数为D。(His thought of the implementation of the standard particle swarm algorithm according to the particle swarm algorithm (2)- the standard particle swarm algorithm about implementation. Mainly divided into three functions. The first function of particle swarm initialization function InitSwarm (SwarmSize... AdaptFunc), its main function is to initialize particle swarm particle, and set the particle s velocity, position in a certain range. The function of data structure is as follows: ParSwarm record table is the particle s position, speed and the current fitness value, we use W to represent the position, represented speed with a V, to represent the current fitness value with F. Here we assume that the number of particles N, each particle dimension for D.)

清华大学张旭东老师现代信号处理第一次matlab习题(The first matlab exercise in modern signal processing by Xudong Zhang, Tsinghua univ.)

用积分最小值准则来求P,PI,PID的个参数，其中Gc是校正器的传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量vars为带迟滞--惯性环节模型的[K T τ]，已知参数k=vars（1）；T=vars（2）；ι=vars（3）,iC=vars(4) (Minimum criteria of integral seeking P, PI, PID' s parameters, which Gc is the corrector transfer function, kp is proportional coefficient, Ti for the integral time constant, Td for the differential time constant, input parameters vars as with hysteresis- inertia model of [KT τ], known parameters k = vars (1) T = vars (2) ι = vars (3), iC = vars (4) )

mma7260 加速度传感器 输出电压和倾角关系图绘制(mma7260 accelerometer and tilt sensor output voltage relationship mapping)

Relative orientation (kraus)

This is region based segmentation technique. It includes segmentation of similar pictures.