time-series

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.)

matlab绘图结果在VB的picture控件中显示(matlab drawing the results of the picture controls in VB to display)

matlab 金融工程 风险测量 风险分担 程序 股票(matlab matlab)

该程序实现输入模糊控制量与模糊规则，在MATLAB中自动实现控制量查询表(The procedure volume and the input fuzzy control fuzzy rules, in MATLAB automatically control the volume of inquiries in the table)

这是一个数字图像处理的matlab仿真程序，效果比较好(This is a digital image processing matlab simulation program, the effect is better)

QRcode标准，非常不错的学习和编码资源，有需要的朋友请下载。(QRcode standard)

说明：  各种数码之间的相互转换，比如2进制转10进制(Base Conversion Algorithm)

Windows扫雷源代码.rar Windows扫雷源代码.rar(Windows mine the source code. Rar Windows mine the source code. Rar)

子波高分辨谱估计方法及其在毫米波雷达目标一维距离成像中的应用(Wavelet resolution spectral estimation method and its application in the millimeter-wave radar target from imaging)

Matlab_ and _VC + + mixing programming process explanation (including part of the problem solutions)(Matlab_ and _VC++ mixing programming process explanation (including part of the problem solutions))