Genetic-algorithm-(ga)

移动通信原理书籍，外国老师提供，有实验可在Matlab下实现(mobile principle e-book, my foreigh teacher using)

模式识别分类器的设计，此为LMS法源码，经调试通过。所用数据为标准IRIS。(Pattern recognition classifier design, the source for the LMS method, adopted by the debugger. Data used as the standard IRIS.)

中值滤波窗口大小影响滤波器性能,3×3滤波窗口可以很好地保持图像细节。提出一种新的自适应中值滤波方法。将3×3窗口中心的极值点作为候选噪声点,若候选噪声点仍然是7×7窗口的极值点,则该点即是噪声点。若以噪声点为中心的3×3滤波窗口的中值不是噪声,则噪声用中值替换。重复以上过程,直到没有噪声点被替换。(Median filter window size affect the filter performance, 33 filter window can be well preserving image detail. Propose a new adaptive median filtering method. The 33 extreme point of the center of the window as the candidate noise the candidate noise is still 77 extreme points of the window, the point is that the noise point. Terms of noise centered on the point 33 filtering window value is not a noise, the noise is replaced with the median. The process is repeated until there is no noise point is replaced.)

罗兰圆椭圆结构的matlab描述，用于模型的建立。(The Rowland circle oval structure matlab Description model.)

Transform two case , the one case 1 is Fourier the 8X8 size and then use the mask to clear the high fitter . the second case 2 is cosine the 8X8 size and then use the mask to clear the high fitter .

数字滤波技术是在干扰通过输入通道进入计算机后的一种软件抗干扰的补救办法。 (Digital filtering technology interference in through the input channel into the computer after a software anti-interference remedy.)

pixel based image fusion

说明：  Iris数据集的分类程序，包括线性分类器实验，BP网络分类器实验，以及异或数据的BP网络分类实验，外带试验报告(Iris data set of classification procedures, including linear classification experiment, BP network classifier experiments, and different BP networks or data classification experiment, take-test report)

2017年0616，该频域分解（FDD）土木工程中的一个输出系统识别技术的流行，特别是在结构健康监测。作为一个输出的算法，它是有用的当输入数据是未知的。FDD是模态分析技术，生成系统的实现采用了频率响应（多）输出数据参考。所附的MATLAB代码实现了这一技术的模态参数识别。为了使用此代码，处理（趋势、过滤等）时间的历史数据必须存储在一个Excel文件（数据每一频道栏目）。检查“加速度。对于时间的历史文件的一个实例xlsx”。(In 2017, 0616, frequency domain decomposition (FDD), an output system in civil engineering, was popular in identification technology, especially in structural health monitoring. As an output of the algorithm, it is useful when the input data is unknown. FDD is a modal analysis technique, and the implementation of the system adopts a frequency response (multiple) output data reference.)

该文档办了深度学习中Softmax问题的详细程序和代码(this document contain softmax of deeplearning network)