rigid3D

Principal component analysis,for study about classification data,develop for svm , lvq etc

filter data in Matlab

In many applications, such as biomedical engineering, it is often required to obtain specific periodic source signals. In this paper, we propose a two-stage based approach for extracting periodic signals. At the first stage, the autocorrelation property of the desired source signal is exploited to roughly extract the desired source signal. At the second stage, the extracted signal is further processed as cleanly as possible, based on the higher-order statistics. Simulations on artificially generated data and real-world ECG data have showed its better performance, compared with many existing extraction algorithms.

高斯信道下二进制相移键控信号仿真MATLAB源程序(Gaussian channel binary phase shift keying signal simulation MATLAB source)

说明：  在Matlab软件上实现Mersenne Twister随机数的生成，并对结果进行仿真。(In the Matlab software to achieve Mersenne Twister random number generation, and the results are to be simulated.)

广义最小二乘的算法结构，广义最小二乘递推的每一步用两步递推算法，先把噪声参数和模型参数均给个初值，然后第一步先假设噪声参数已知，用最小二乘估计出模型参数，第二步再用最新的模型参数来估计噪声参数，如此循环直到辨识精度达到指定要求或者可用数据用完为止(Generalized least squares algorithm structure, generalized recursive least squares every step of the two-step recursive algorithm, first noise parameters and model parameters to the initial value, then the first step is to assume that the noise parameters are known, with the smallestsquares to estimate the model parameters, and the second step, and then the latest model parameters to estimate the noise parameters, and so on until the identification accuracy specified requirements or available data is used up)

Performance of Alamouti

OFDMmatlab仿真程序，改程序是一个仿真系统，附有文档说明。(OFDMmatlab simulation program, the reform process is a simulation system, accompanied by documentation.)

　《先进PID控制MATLAB仿真（第3版）》每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。 　　(Advanced PID control Matlab simulation )

分类周期法计算功率谱，求FMCW 雷达回波中距离信息(The classification cycle method to calculate the power spectrum, seeking the FMCW radar echo in the distance information)