pedulum-lqr

灰色GM（1,1）预测普通代码和改进之后的代码。(the GM（1,1） predict code)

用matlab编写了20几个常见的技术指标，方便大家开发策略时候，直接调用。 1）编写这些函数不是技术活，完全是体力活 2）之所以编写这些函数，一来是自己研究所需，二来自己编写过程中能够感悟到蕴含在公式中的思想 3）几乎所有函数，我都用数据测试过，并和交易开拓者、同花顺等计算的值进行了比对，最大程度 上保证指标算法的准确性。虽然已近极力避免错误，但是还是可能出现一些这样那样的错误，所以 请批判性使用这些函数 4）如果对这些函数有疑问（比如有些指标可能会有不同的处理方法），请参见函数中的参考文献部分 5）如果您的策略用到了这些函数，请一定研究这些函数的编写过程，避免未来函数、偷价漏价对你造成的干扰。(20 using matlab few common technical indicators, to facilitate the development of strategies when called directly. 1) preparation of these functions are not technology live, is completely manual labor 2 thoughts) reason to write these functions, one is required for their own research, and secondly to be able to comprehend the process of writing their own inherent in the formula 3) Almost all of the functions that I have tested with the data, and the Trail Blazers and trading, such as flush with the calculated values were compared right, the greatest degree of     On indicators to ensure the accuracy of the algorithm. Although almost try to avoid mistakes, but still may be some kind or another error,     Please use these critical functions 4) If you have questions about these functions (for example, some indicators may have different processing methods), see the References section function 5) If your policy to use these functions, be sure to study the process of)

in this m file i have identified a system in the dynamic form.

matlab图像处理代码，基本上常用的都包含在里面了，挺好的，适用于基础学习。(matlab image processing code, basically common are included in the inside, and quite good for basic learning.)

认知无线电中信号检测循环频谱特征检测方法(The signal detection circulation spectral feature detection)

MATLAB函数为pm Haar 1-D IDWT算法 离散Haar小波逆变换的基本原理(MATLAB function for pm Haar 1-D IDWT algorithm, Fundamentals of the discrete Haar wavelet transform)

说明：  立体匹配SGM算法matlab实现，包括图像预处理，census特征计算、4条扫描线代价聚合、亚像素求精等后处理步骤(Matlab implementation of stereo matching SGM algorithm, including image preprocessing, census feature calculation, four scanning line cost aggregation, sub-pixel refinement and other post-processing steps)

说明：  quarter car model for estimating vehicle states using EKF(a simple example to show how Extended kalman filter works in simulink)

原始信号和噪音都是正弦信号的的RLS滤波(The original signal and noise are sinusoidal signals of the RLS filter)

4自适应帧预测凹形可伸缩视频编码——icme01(4Adaptive frame prediction for foveation scalable video coding--icme01 )