ESPRIT2

kalman filter tutorial in matlab

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

分形曲面的matlab简单程序，已经测试过。(Fractal surface matlab simple procedure, has been tested.)

此程序实现压缩感知方法与最小二乘方法在超宽带信道估计中实现信道估计的MSE对比。(This program is compressed sensing method with the least squares method is implemented in ultra-wideband channel estimation channel estimation MSE contrast.)

用matlab仿真模拟骑车功能，左右转向，油门，历程功能。(Simulation ride, about steering, throttle, the course features)

分形维数计算，差分盒计数法，编译过，可以用(chafen)

分形分析工具箱,业内最完整，最易用的分形分析工具箱，包含GUI，Demos以及详细的帮助文档。(Fractal analysis toolbox, the industry' s most complete, most use fractal analysis toolbox contains GUI, Demos, and a detailed help documentation.)

ICA（主分量分析）算法和程序，针对EMD方法的不足,多元数据分析的主分量分析投影。( ICA (Principal Component Analysis) algorithm and procedures, For lack of EMD, Principal component analysis of multivariate data analysis projection.)

Harmonic detection window

使得最近打开的MATLAB图形开始下雪，如果没有已经打开的窗口，则首先创建一个窗口。(LETITSNOW- Make the figure snow! Usage: ------ letitsnow - Create snow in the CURRENT figure. If no figure exists, an empty figure will be created. letitsnow(figure_hdl) - Create snow in the figure represented by figure_hdl letitsnow(figure_hdl, color)- Create snow with the specified color color is a scalar ranged 0~1)