lgr

提供mathlab进行插值，数据回归分析等方法(gg)

最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

Digital image exercices

用模拟退火算法求解TSP问题 [1]主函数tsp.m [2]计算路径长度的子函数 route_long.m [3]随机交换两个节点的顺序函数exchange.m(Using simulated annealing algorithm for solving TSP problems [1] the main function tsp.m [2] calculation of path length of Functions route_long.m [3] randomly exchange the order of two nodes function exchange.m)

说明：  matlab SIMULINK Arabic tutorial part 3

有源电力滤波器（APF：Active power filter）是一种用于动态抑制谐波、补偿无功的新型电力电子装置(Active power filter (APF, the Active power filter) is a kind of used for dynamic suppress harmonic and compensate reactive power of the new power electronic devices)

说明：  惯性导航系统中求解航向及姿态角的仿真程序，用matlab开发(Inertial navigation system to solve direction and attitude angle of the simulation program, developed by matlab)

non local means denoising

共振解调的源代码，用于对滚动轴承的振动信号处理，并通过fft变换，进行故障诊断(Resonance demodulation source code for rolling bearing vibration signal processing and through the fft transform, fault diagnosis)

里面包含有几个非常好的基于粒子群优化的算法和基于matlab的源程序，对研究粒子群和优化的朋友很有帮助。(Which contains a few very good based on particle swarm optimization algorithm and matlab based on the source, the study of particle swarm optimization and helpful friends.)