Matlabparticlefiltrerdemo

Channel equalization s matlab program

highboost filter for image enhancement

GPU Code in Matlab

这是IIR数字滤波器的设计及滤波程序，IIR滤波器用matlab实现，滤波数据用C生成，主程序实现数字滤波(This is the IIR digital filter design and filtering procedures, IIR filter using matlab, using C to generate filtered data, the main program to achieve digital filtering)

blender script to make a object intersection

包括最小二乘法、SVM、神经网络、1_k近邻法,用于信号特征提取、信号消噪，真的是一个好程序，采用热核构造权重，在matlab环境中自动识别连通区域的大小,GPS和INS组合导航程序，单径或多径瑞利衰落信道仿真，通过反复训练模板能有较高的识别率。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, For feature extraction, signal de-noising, Really is a good program, Thermonuclear using weighting factors Automatic identification in the matlab environment the size of the connected area, GPS and INS navigation program, Single path or multipath Rayleigh fading channel simulation, Through repeated training FssQvKhlate have higher recognition rate.)

关于光流法的一个外文论文，很好的讲述了光流法算法(An optical flow method on foreign language papers, very good about the optical flow algorithm)

说明：  这是一个基于M/M/S类型的排队论仿真程序。M/M/S表示到达时间为负指数分布，服务时间为负指数分布，服务设备数量为S个的排队系统。 （1）到达模式：严格意义上讲是一个接着一个到达，而且到达时间间隔服从参数为mean_arr的负指数分布； （2）服务模式：服务台的数量为server_num,且每个服务台服务一个顾客的服务时间服从参数为mean_serv的负指数分布； （3）排队规则：满足先进先服务，服务快的先离开的规则。 (This is a based on the M/M/S types of queuing theory simulation program. M/M/S said time of arrival of the negative exponential distribution and service time for the negative exponential distribution, service equipment for the number of S-queuing system. (1) mode of arrival : a strict sense is a one followed arrived, but the inter-arrival time parameters mean_arr obey the negative exponential distribution; (2) mode : The number of help desk server_num. with each help desk services a customer service parameters mean_serv obey the negative exponential distribution; (3) queuing rules : first meet advanced services, the first to leave fast rules.)

主要是利用转换域算法来进行OFDM信道估计，并将其与LS算法进行比较(Transform domain algorithm for OFDM channel estimation, and comparison with the LS algorithm)

说明：  optimal P and Q of DG(disributed generator)