pure_OFDM

optical character recognition algorithms....

基于混沌理论的时间序列的系统多步预测函数(Based on the theory of chaos time series prediction function of the system)

matlab小世界网络 主要是复杂网络 希望对大家有帮助(matlab internet)

说明：  matlab仿真，GUI界面模拟鱼类目标追击问题(Matlab simulation and GUI interface simulation of fish target pursuit)

基于matlab仿真的调制解调算法，对一个输入序列能正确调制和解调并输出相应的波形(arithemtic of modulation and demodulation)

High accuracy optical flow using a theory for warping(The files optical_flow_brox.m and optical_flow_sand.m are the files you need to run. optical_flow_brox.m implements the traditional algorithm. Just replace the first lines where images are read, with your image, and start the process. optical_flow_sand.m implements a variant presented in CVPR 2006. Again just replace the lines "img1 = imread( ... )" and "img2 = imread( ... )" with your images and the rest is automatic. The variable num_levels controls the number of images in the laplacian pyramid to be constructed. Change it to suit your convenience.)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

一个串级PIDSIMULINK模型,可直接运行(one simulink model about pid)

C++ AND MATLAB CODE FOR STEGANOGRAPHY, developed by a third party, Please check it by yourself while you use it

在移动通信中的多路径信号接收机。环境的干扰，根据其相位使信号增加或减少。这个程序可以让你学到的频率和速度如何修改信号模式的接收器(In mobile communications a multi-path signal is received in the receptor. Enviroment interferences make the signal increase or decrease according to its phase. This program allows you to learn how frequency and speed modify the signal pattern at the receiver)