RD

采用分离剥层算法以及傅立叶变化的方法，使用Matlab语言编程分析光纤光栅(FBG)的特性。(Layer stripping algorithm for the use of separation as well as changes in Fourier methods, the use of Matlab programming language analysis of fiber Bragg grating (FBG) characteristics.)

利用cookies控制的百度发帖机源代码。很久之前做的。大家可以参考一下(The control of the use of cookies Baidu posted machine source code. Long ago to do. We can refer to)

压缩感知简介,包括压缩感知具体实现过程，最基本的原理说明(compressive sampling)

模糊 免疫算法 PID 模糊 免疫算法 PID(Fuzzy immune PID algorithm PID fuzzy immune algorithm)

matlaba的图像匹配，进行图像的处理。(matlaba image matching, image processing.)

一些自适应信号处理的算法，基于互功率谱的时延估计，插值与拟合，解方程，数据分析。( Some adaptive signal processing algorithms, Based on the time delay estimation of power spectrum, Interpolation and fitting, solution of equations, data analysis.)

说明：  数字信号处理实验（matlab版）书的参考程序 MATLAB例题文件夹(Digital Signal Processing Experiment (matlab version) reference book example MATLAB program folder)

说明：  自制matlab卡尔曼滤波小程序，对于初次接触的研究人员有一定帮助(Kalman filter matlab small program made for the initial contact with the researchers have some help)

simulation of train in matlab with fuel cell source

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.)