FIR

matlab例子，自己建的模型，关于电机反面的(Matlab example, build myself model, about motor)

A matlab code to compute derivative

这里提供了两个消除趋势相的matlab程序 在故障诊断中 要对信号进行频谱分析 而在频谱分析前要消除趋势相 这样得到的频谱 能更好的反映故障 有利于进一步诊断(Here are two trends in the elimination phase of the matlab program in fault diagnosis to the signal spectrum analysis and spectrum analysis in the former to eliminate the tendency of such spectrum can be better reflected further in favor of fault diagnosis)

要求使用继电自整定方法对其实施自适应PID控制。 1、选择采样时间0.1s，把对象离散化。 2、加继电（开关）控制，测量对象的Tc,Kc。 3、利用ZIEGLER-NICHOLS 公式表，确定PID参数。 4、实现闭环控制。 5、根据调节效果，修正PID参数。 (Require the use of relay tuning methods for its implementation of the adaptive PID control. 1, select the sampling time 0.1s, the discrete objects. 2, plus relay (switch) control, measurement object Tc, Kc. 3, using ZIEGLER-NICHOLS formula table, determine the PID parameters. 4, closed loop. 5, according to moderating effect, the amendment PID parameters.)

本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。(This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods.)

说明：  在MATLAB环境下的3780点FFT仿真(The Simulation of 3780 point FFT in MATLAB environment.)

BUCK电路电感电容的选取，仿真电路，有干扰时的仿真波形(The BUCK conveter)

自己写的一个计算空间时频分布的程序，魏格纳威尔分布原代码(Wrote a frequency distribution calculating space program, Wigner distribution of the original code Weir)

非常适合计算机视觉方面的研究使用,小波包分析提取振动信号中的特征频率，用MATLAB实现动态聚类或迭代自组织数据分析。( Very suitable for the study using computer vision, Wavelet packet analysis to extract vibration signal characteristic frequency, Using MATLAB dynamic clustering or iterative self-organizing data analysis.)

应用MATlAB语言处理数字信号与数字图像，从书中提取出來的不分，对初学者来说很不国！(Application of MATLAB language processing digital signals and digital images, extracted from the book, with no distinction, for beginners is not the country!)