prbs_generator

本程序实现一个MATLAB辅助工具，你可以借助它，选择plot绘制出的各个图像数据，并且随意拖动它们。另外，它还有两个不同形状任意大小的绘图刷子。你使用这个工具选中点的时候，这些点被高亮，直到释放鼠标。另外你还可以在命令行下面调用这个工具，选择绘制的图像(This program implements a MATLAB aids, you can make use of it, select the plot to draw out each image data, and easily drag them. In addition, it has two different shapes of any size drawing brush. You use this tool to select points, these points are highlighted, until you release the mouse. Also you can call the following at the command line tool, select the image to draw)

格型滤波器(lattice filter)Matlab的实现帖子,只用于2阶。请高手看看。不过我还是不会编更高阶的格型滤波器。欢迎一起探讨！zhoujoejx@163.net(lattice filter (lattice filter) Matlab achieve posts. only for the two bands. Look at 19:56. However, I will not write more advanced lattice filter. Welcome to explore! Zhoujoejx@163.net)

pi/4-dqpsk 调制解调 的 matlab 仿真，通过srrc滤波器实现16倍的上采样(pi/4-dqpsk modulation and demodulation matlab simulation, through srrc filter to achieve 16 times the sampling)

无线传感器网络定位算法matlab仿真，主要是以RSSI定位算法的程序(matlab location)

Accountable Care Organizations (ACOs) are groups of doctors, hospitals, and other health care providers, who come together voluntarily to give coordinated high quality care to their Medicare patien

This paper presents a fuzzy tuning approach to sliding mode control for tracking-performance enhancement in a class of nonlinear systems. The sliding surface can rotate or shift in the phase space in such a direction that the tracking behaviour can be improved. It is shown that with arbitrary initial conditions, the reaching time and tracking error in the approaching phase can be signi辌antly reduced. Chattering can also be reduced by fuzzy tuning of the controller parameters

enhanced mapping algorith for loclaization and mapping problem

说明：  四类语音信号的BP神经网络识别： 四个特征信号矩阵合成一个矩阵， 根据BP网络输出找出语音数据属于哪类， 并求出判断正确率(BP neural network to identify four categories of speech signals MATLAB)

ekf和ukf的程序的对比，主要应用于目标跟踪方面(ekfVSukf s programme ,it s fitted to track traget.)

时间序列分析，采用了最小二乘（LS）与自回归(AR)的组合模型，并用MATLAB将其实现(Time series analysis, using a least-squares (LS) and autoregressive (AR) model combination and its implementation using MATLAB)