IMF_Bearing

电力电子中使用的单相控制系统互补双管驱动仿真模型(Power 1phase PWM)

光度立体成像 通过物体在两个不同点光源下拍摄的两张图片 获得物体的三维信息(Photometric stereo imaging computer vision)

系统辨识及其MATLAB仿真,白噪声产生程序(System Identification and MATLAB simulation, white noise generator)

MATLAB中证图像缩放、旋转等对Hu矩和Zernike矩的影响(MATLAB in the card image scaling, and rotation of the Hu moments and Zernike moments of)

应用Singer模型算法对机动目标进行跟踪,一个两坐标雷达对一平面上运动的目标进行观测.(Applications Singer model algorithm for maneuvering target tracking, a two-coordinate of a radar target on the observation plane motion.)

说明：  功能：基于褶积模型的衰减补偿 功能：基于褶积模型的衰减补偿(Attenuation compensation based on convolution model)

说明：  :针对遗传算法易陷入局部最优的不足,在标准遗传算法基础上加入了三个新的操作- 复原、重构和录优操作,使改 进后的遗传算法收敛于全局最优,并在此基础上以路边约束、动态避障和路径最短作为适应度函数,提出了动态避障的路径 规划方法。通过实验仿真验证了算法的有效性、准确性和实时性,并与基于以往的遗传算法的路径规划方法进行比较,结果 表明本文提出的方法在产生的路径长度和算法运行时间上都具有更优的性能。(: Genetic algorithm for the lack of easy to fall into local optimum, in the standard genetic algorithm based on the insertion of three new operations- rehabilitation, reconstruction, and excellent operational record, so that the improved genetic algorithm converges to the global optimum, and in this by the roadside on the basis of constraints, dynamic obstacle avoidance and the shortest path as the fitness function is proposed dynamic obstacle avoidance path planning method. Simulation results through experiments the effectiveness of the algorithm, accuracy and real-time, and with previous genetic algorithm based path planning method to compare the results show that the method proposed in the resulting path length and algorithms have a running time better performance.)

PCA的离线建模程序，包括数据标准化，PCA建模，统计量计算(PCA offline modeling process, including data standardization, PCA modeling, statistical calculation)

Unconstrained optimization of single variable

多抽样率信号处理，IMC-PID是利用内模控制原理来对PID参数进行计算，欢迎大家下载学习，进行逐步线性回归，是一种双隐层反向传播神经网络，可以得到很精确的幅值、频率、相位估计。( Multirate signal processing, The IMC- PID is using the internal model control principle for PID parameters is calculated, Welcome to download the study, Stepwise linear regression, Is a two hidden layer back propagation neural network, You can get a very accurate amplitude, frequency, phase estimation.)