predictive

给出一段信号，能够计算这段信号的过零率，利用Matlab编程，方便使用(Give a signal, this signal to calculate the zero crossing rate, using Matlab programming, ease of use)

用AR模型和KARMAN功率谱对脉动风进行模拟，在此基础上叠加平均风，得到风序列(KARMAN power spectrum with AR model and simulate the fluctuating wind , the average wind overlay, get wind sequence)

MATLAB基于点的图像配准程序，请大家分享。(MATLAB-based point image registration procedures, please share with you all.)

基于反步法的欠驱动AUV水平面直线航迹跟踪控制(Straight-line trajectory tracking control of underactuated AUV in the horizontal plane based on backstepping)

这是简易的ASK信号调制，把文件放入matlab的文件库中，通过在matlab的命令窗口直接调用功能函数并运行，可以直接看到仿真结果。(This is a simple the ASK signal modulation, the file into Matlab file library, call function directly in the Matlab command window and run the simulation results can be seen directly.)

深度典型相关分析的python实现，DCCA是Galen Andrew于2013年发表于ICML上的一篇文章，提出了将深度网络与CCA结合的新方法。(Deep canonical correlation analysis)

the matlab book answersthe matlab book answers(the matlab book answers!the matlab book answers!the matlab book answers!)

This is the Purdue University EE 606 Homework. I uploaded it and hope friends could enjoy it together. Thanks very much

灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)

说明：  本源程序为采用IV辅助变量算法法进行供电负荷预测的，后面还自带了进行模型检验的部分，很适合电力专业的学生学习使用(The source code for the algorithm using method IV auxiliary variable power load forecasting, the model behind the test also comes with some very suitable to use the power of professional learning)