low-pass-filtering

MATLAB Books - John O. Attia.pdf.zip

程序实现了欧拉法、改进欧拉法、隐式梯形积分法解同一个微分方程，并与解析解比较，以可视化的形式展现出来(Program to achieve the Euler method, Improved Euler method, the implicit trapezoidal integration to solve the same differential equations and compared with the analytical solution, to show up in the form of visualization)

从其他网站下载的经典蚁群算法，对初学者非常有用，请看看。(downloaded from other websites of the classic ant algorithm, very useful for beginners, please look at.)

基于前馈补偿的PID控制算法例程。可以参考下，matlab下的(Feedforward compensation based on the PID control algorithm routines. Can refer to, matlab under)

离散迭代，对于离散系统，进行多次迭代，得到最终的准确结果(Discrete iteration)

说明：  一个LDPC的例程使用matlab编写，可直接运行，信道编码程序(a LDPC the use of Matlab routines prepared to be directly run channel coding procedures)

说明：  matlab数字滤波器设计,计算出参数便于dsp实现bandpa(Matlab digital filter design parameters calculated to achieve bandpass ease dsp)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

基于图论求解最短路径，经典dijkstra算法，通用版(Based on the graph theory to solve the shortest path, classical dijkstra algorithm, general version)

希尔伯特黄变换，绘制IMF，边缘谱图，自己正在调试，中间些错误，待修正。(Yellow Hilbert transformation and draw the IMF, edge chart, you are debugging, among some mistakes, to be fixed. )