zhongxinbijin

基于傅里叶变换的matlab下的二维周期性光子晶体带隙的计算绘图程序，属于冷门资料，网上很少见。(Based on Fourier transform matlab under the two-dimensional periodic photonic bandgap calculation drawing program, belonging to popular information, online rare.)

maximul constant control of zsi

基于粒子群算法的PID控制器优化设计matlab代码(PID TUNER using PSO matlab code)

2.训练结果 最终误差：0 迭代次数：8 最终权值：2.6416 1.3022 最终阈值：3.1000 误差收敛曲线 (ganzhiqi)

字符编码过滤，单纯的过滤器，解决乱码问题(Character encoding filter, a simple filter to solve garbage problem)

数字通信原理--基于MATLAB仿真计算(Digital Communications- Based on MATLAB simulation)

smart antenna Genetic algorithm

How a Brushed DC Motor works and rotates

压缩感知理论对图像数据进行采集，并利用重构算法omp,GSPR,ST0等算法进行分析视频重构图像的效果(Compressed sensing theory for image data acquisition and reconstruction algorithm using omp, GSPR, ST0 video reconstruction algorithms to analyze the effect of image)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations