PCA

Fuzzy Control Systems Design and Analysis [TANAKA& HUA O. WANG] CH1

这是关于功率谱的Matlab仿真程序，其中有AR、MA、ARMA三种模型的源代码，相关函数的源代码、功率谱的源代码等等。(This is on the power spectrum of the Matlab simulation program)

说明：  一个用matlab写的对图象处理方面的函数，希望对新手有帮助(Write a matlab with image processing functions, and they hope to help novice)

说明：  取一个随机生成的数组取一个随机生成的数组(Take a randomly generated array of take a randomly generated array)

矿震信号处理，福利叶变换，小波包分解，频带能量(Efficient mine microseismic monitoring)

MATLAB code for fast fourier transform

人工萤火虫群优化算法 该算法主要用于求解多峰函数(Artificial fireflies swarm optimization algorithm is mainly used to solve the multimodal function)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

对光纤中光的传播特性进行仿真（包括单模和多模光纤）(Simulation of optical propagation characteristics in optical fibers (including single-mode and multimode fiber))

说明：  PSO源程序，可以任意优化两维数据点和多维数据点，在优化多维数据时，要将初始矩阵变成多维矩阵(PSO source code, you can optimize an arbitrary two-dimensional data point and multi-dimensional data points, in the optimization of multi-dimensional data, to the initial matrix into a multi-dimensional matrix of)