ABS

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)

matlab对于大矩阵的简单求解，初学者可参考(Solving simple matlab)

基于莱维飞行粒子群算法的点焊机器人路径规划(Spot welding robot Levy flight path planning based on particle swarm algorithm)

ddc simulation 进行DDC实现过程的仿真(ddc simulation DDC realization process for the simulation)

基于期望最大化的时变参数建模，时频分辨率高(Based on expectation maximization of time-varying parameter modeling, high time-frequency resolution)

This algorithm routing by reinforcement learning

基于闭式鲁棒中国余数定理（CRT）的程序，用于阵列天线信号处理。(signal processing based on CRT)

几种典型的滤波方式（gamma lee）几种典型的滤波方式（gamma lee）(Typical filtering method (gamma lee) typical filtering method (gamma lee))

人眼识别英文版，基于梯度特征提取，模板匹配实现人眼识别(eye detection)

说明：  用MATLAB编程，利用FDTD方法模拟了三维结构的场分布(With MATLAB programming, the use of FDTD method to simulate three-dimensional structure of the field distribution)