Kompresi-LZW

PCA数据降维，利用MATLAB进行开发学习(PCA of data dimensionality reduction, using MATLAB to develop learning)

基于matlab编程RBF网络监督PID控制程序(Matlab Programming Based on RBF Network Supervised PID Control Program)

联合格自适应交互多模型算法。根据目标情况调整格间距。(United grid adaptive interacting multiple model algorithm.)

简化的频域反馈判决反馈均衡器，系数不需要每次都更新。(simplified frequency decision feedback filter ，do not need to update factor everytime)

粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示，粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本，对于初学者可以通过此程序快速的实现入门，以便将更多的精力投入到深层次的研究中去！同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。(验。-PSO algorithm (PSO) standard test function verification process. M in a document, including the current literature is used to validate the seven standard test function (Ackley), 3D dynamic display, and the over-concentration of particles scatters when the function. Designed for researchers to study and colleagues at the PSO algorithm to provide a more complete functional and easily understood standard version, for beginners through this program to achieve rapid entry. in order to be more energy into depth study! While willing to work with all the friends here to discuss PSO algorithm improvements and applications (such as multi-target, Dynamic systems, etc.) experience.)

卷积码的维特比译码器，实现（2,1,7）卷积码解码(vertebi decoder)

说明：  自己编写的自适应滤波算法的应用，应用于惯性导航系统初始对准中，静止基座(I have written the application of adaptive filtering algorithm used in inertial navigation system in the initial alignment, static base)

运用 参数估计法AR 法进行功率谱做图 直接输入待做图信号便可(AR method of parameter estimation method power spectrum do plan direct input to be able to make plans signal)

说明：  Simulation based on age verification

The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.