GSM

Motion Tracking =============== This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentially numbered images available. After entering the path and file types the tracker will begin processing. Once the data window appears the algorithm begins building a background model and attempts to track objects. By clicking on any of the four subwindows you can investigate the background representation (a Mixture of Gaussians) of any pixel. The two windows that then appear display the mixture once as a two-dimensional scatter plot (ignoring the blue colour component), and once as a one-dimensional evolution of the red colour component only. These plots make the internal processing visible and should help determining suitable parameters to be set in mixture_parameters.m.

《先进PID控制及其仿真》，讲述了如何在MATLAB环境下对各种PID算法的仿真，很有价值的一本书(" Advanced PID Control and Simulation" , describes how under the MATLAB environment for the simulation of various PID algorithm, the value of a book)

说明：  QRS算法心电检测MATLAB程序源代码。(ECG QRS detection algorithm for MATLAB source code.)

Virtex-5 Family Overview

热处理融合，崭新的融合处理方法，仿真显示性能得到有效提升(Heat treatment, a new fusion processing method, the performance of the simulation show that ascension)

Simple ULA simulator for Capon

说明：  多径衰落信道下的通信系统建模仿真多径衰落信道下的通信系统建模仿真(Multipath fading channel modeling and simulation of communication systems)

应用分数阶的一个实例，首先给出了分数阶付利叶的程序代码，然后用这个代码计算功率谱(Application of an example of fractional order, first of all profits are given fractional leaf program code, and then use this code calculated power spectrum)

空间谱估计算法中的求根MUSIC算法，很简单程序。(Spatial spectrum estimation algorithm finding roots of MUSIC algorithm is very simple program.)

实现希尔伯特-黄变换的功能，并带有一段测试数据。希尔伯特-黄变换是使用EMD分解将信号分解为本征模态函数（IMF），然后求得IMF分量的瞬时频率。其对于非稳态和非线性信号具有优良的效果。(The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain the instantaneous frequency data. It is designed to work well for data that are nonstationary and nonlinear.)