LLEjisuan

matlab中wave文件的频率解析代码，欢迎使用(Matlab which documents the frequency wave analysis code, welcomed the use of)

自己编写的PCA程序，使用简单，标注清晰(I have written the PCA program, simple to use and clearly marked)

LADT ECG Compression Algorithm 4

这是用matlab实现的多站定位系统性能仿真的源程序，希望对研究定位的人有所帮助！资源共享，也希望有关 于无源定位、多普勒信息提取方面代码的人共享一下，一起进步！(This is achieved using matlab multi-station positioning system performance simulation of the source, I hope the study will help position the person! The sharing of resources, but also on the passive positioning, Doppler information extraction area to share some code with the progress!)

说明：  MUSIC方法是Schmidt 在 1979 年首先提出的,并于1986 年重新发表。该方法和 Roy 于1986 年提出的 Esprit方法都是早期经典的超分辨率 DOA 估计方法 即超瑞利限的方法 ,他们同属特征结构的子空间方法。(MUSIC method is Schmidt first proposed in 1979, and re-released in 1986. The method and Roy in 1986, Esprit proposed methods are early classic super-resolution DOA estimation method that is super-Rayleigh limit of the method, they belong to the same characteristic structure of the subspace method.)

说明：  通过状态空间方法建立了线性二自由度的车辆模型，然后通过转换，将状态空间转换成传递函数的形式，能看到速度变化后，质心侧偏角和横摆角速度的变化趋势。(The vehicle model with linear two degrees of freedom is established by the state space method, and then the state space is transformed into the form of transfer function through transformation. After the speed changes, the change trend of the sideslip angle and the yaw rate of the center of mass can be seen.)

一个老外开发的地质统计学matlab工具箱，具有较全的统计算法如克里金、SVM(development of a foreigner geostatistics Matlab toolbox, compared with all the statistics as Kriging algorithm, SVM, etc.)

粒子群算法Rastrgrin实现寻优，利用一具体案例得出寻优结果(Particle swarm optimization algorithm Rastrgrin realized using a specific case optimization results obtained)

说明：  现代信号处理中对基本的ESPRIT的一种改进算法的程序，并利用算法进行了信号频率的统计仿真实验！(Modern signal processing of basic ESPRIT An Improved Algorithm for the procedures and the use of algorithms of statistical signal frequency simulation!)

Alamouti空时码的仿真程序，天线配置为2发2收。(Alamouti space-time code simulation program, the antenna configured to receive 2 fat 2.)