MAS

说明：  基于matlab语言编写的维纳滤波与自适应滤波中LSM和RLS两种算法的仿真程序(Matlab language based on Wiener filtering and the RLS adaptive filtering in the LSM and the simulation program the two algorithms)

THIS IS IEEE TEST BUS SYSTEM

FUZZY CONTROL LOGIC for CAR HOVER PROE

SPGL1: A solver for large-scale sparse reconstruction(% SPGL1: A solver for large-scale sparse reconstruction % Version 1.7 (May 20, 2009) % % Files % spg_bp - Solve the basis pursuit (BP) problem % spg_bpdn - Solve the basis pursuit denoise (BPDN) problem % spg_lasso - Solve the LASSO problem % spg_mmv - Solve the multiple measurement vector (MMV) problem % spg_group - Solve the group-sparse BPDN problem % spgdemo - Demonstrates the use of the SPGL1 solver % spgl1 - Expert driver for BP, BPDN, and LASSO problems % spgSetParms - Set options for SPGL1 % spgsetup - Compile the SPGL1 MEX interfaces % % $Id: Contents.m 1384 2009-05-20 19:09:37Z ewout78 $)

Traz de volta os arquivos ocultos e potegidos do sistema dentro de um diretorio especifico

数字图像滤波的程序，包括散斑噪声的生成，中值，均值，Lee，Kuan滤波算法的实现，还计算了三个指标：峰值信噪比，等效视数，散斑指数。(Digital image filtering process, including the generation of speckle noise, median, mean, Lee, Kuan filtering algorithm, also calculated three indicators: the peak signal to noise ratio, equivalent number, speckle index.)

说明：  三种常用的自适应波束形成算法，LMS、RLS、SMI，用于产生雷达发射方向图(Three commonly used adaptive beamforming algorithms, LMS, RLS and SMI, are used to generate radar transmitting pattern)

Matlab编写的串口通讯程序，可以实现PC与串口外设的通讯与检测(Serial communication program written in Matlab, can achieve PC and serial communication with the detection of peripheral)

说明：  有n个整数，使其前面各数顺序向后移m个位置，最后m个数变成最前面的m个数 (Have n integers, to move back in front of the order m of the number of positions, finally becoming the foremost m m the number of number of)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)