exp10pcm

matlab函数速查手册,可以迅速查找常用的函数(matlab help for quickly search for functions)

是一篇pdf文档 。主要讲了，matlab中的GUI模块，得一些常见错误和解决办法。(Is a PDF document. Mainly about, the GUI module in MATLAB, some common errors and solutions. )

Code for ECEF to GCRF coversion

直流驱动电机的matlab仿真文件，可以直接仿真结果(DC drive motor matlab simulation files, simulation results can be directly)

基于EEMD的全质心UWB室内定位算法结合了EMD算法的改进版(UWB indoor location algorithm based on EEMD)

I uploaded sample code for SIMPLE-algorithm and solving lid-driven cavity flow test. It has a lot of shortcomings, but I think that it will be useful for all newcomers. I intend to develop it further, but now it very slowly converges. All notes will be useful, and hope it can be discussed.

biomedical stuffs...

Y.T.Chan在其论文中提出一种具有解析表达式解的非递归双曲线方程组解法，该算法具有计算量小，速度快，且当TDOA参数估计误差服从高斯分布的情况下，定位精度较高。 本程序借鉴Chan论文中提出的算法，基于MATLAB程序，在已知TDOA估计参数的情况下，对信号源位置进行估计。 希望能够对研究 干扰源定位、无源定位的同志提供帮助。(YTChan in his paper presents a solution with the analytical expression for the non-recursive solution of hyperbolic equations, the algorithm has calculated the amount of small, fast, and when the TDOA estimation error of Gaussian distribution in the case, positioning accuracy than high. The papers presented in the program learn from Chan algorithm, MATLAB-based program, known TDOA estimation parameters in the case, the signal source location estimates. Hope to the study of interference location, passive positioning of the comrades to help.)

运用matlab与应用系统无缝集成的三种方式，最后，用一个在智能网络管理信息处理中的具体实例详细说明实现的步骤。 (Use of matlab applications seamlessly integrated with the three ways, finally, with an intelligent network management information processing in the detailed description of specific examples of steps to achieve.)

Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.(Prony algorithm toolbox. Prony method is used for a group of items to be linear combination of distance and other data sampling methods be able to analyze the signal amplitude, phase, the damping factor, frequency, and other information. Considerations including data preprocessing , model order selection, model order selection criteria. signal subspace selection, signal and noise separation, root inspection and assessing residuals. The P Tbox provides flexibility to compare and displ ay analysis results simultaneously for severa l parameter variations.)