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基于区域生长的阈值分割，Matlab环境下使用。(region growth)

说明：  灰色gm11模型，可以做预测，是一个很有趣的小程序(Grey gm11 model prediction can be done is a very interesting little program)

适合于60GHz的高斯脉冲波形设计matlab仿真代码 (60GHz guass pluse matlab code)

sumilink of project in matlab with andy dh

说明：  基于MR的频率优化，详细描述MR频率优化的计算方法(Optimization based on the frequency of MR, MR detailed description of the method of calculating the frequency optimization)

Digital signal processing is the discipline that studies the rules governing the behavior of discrete signals, as well as the systems used to process them. It also deals with the issues involved in processing continuous signals using digital techniques. Digital signal processing pervades modern life. It has applications in compact disc players, computer tomography, geological processing, mobile phones, electronic toys, and many others.

stock market openprice predictor using inbuilt matlab neural network functions

这是一个简单的开环连续迭代学习控制模型，包含simulink模型和m函数，运行main.m即可运行。(This is a simple open-loop continuous iterative learning control model contains simulink models and m function to run main.m to run.)

基于MATLAB的三维彩色点云的显示，真彩色，支持.ply格式，内附.ply格式的点云，(MATLAB 3D Point Cloud Processing)

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)