rainflowGUI

艾尔肯特插值，非常不错的一种插值方法哦，大家多多鼓励(艾尔肯特interpolation, a very good interpolation Oh, we encourage more)

1.边缘检测，分别用Sobel, Laplacian-Gaussian 方法对一幅灰度图像进行边缘提 取，并给出对比结果； 2.灰度阈值分割：利用双峰法对一幅灰度图像进行灰度分割处理。(1. Edge detection, respectively Sobel, Laplacian-Gaussian methods on a gray-scale image edge extraction, and gives comparative results 2. Gray threshold segmentation: Using Twin Peaks method a gray image gray-scale be dealt with separately.)

Farsi Number OCR with description

simulation of fuel cell -part1

模糊c-均值聚类算法通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的，一般用于故障识别与分类。(Fuzzy c- mean clustering algorithm obtains the membership degree of every sample point to all class centers by optimizing the objective function, and determines the classification of the sample points to achieve automatic classification of sample data. It is generally used for fault recognition and classification.)

说明：  利用耦合模理论分析了光纤Bragg光栅中纤芯模间的耦合、倾斜光纤光栅中纤芯模与辐射模和包层模间的耦合(The coupling mode theory was used to analyze the coupling between the core modes in the fiber Bragg grating and the coupling between the core mode and the radiation mode and the cladding mode in the tilted fiber grating.)

LDPC编码算法, Create R = 1/2 low density parity check matrix M : Number of row N : Number of column method : Method for distributing non-zero element {0} Evencol : For each column, place 1s uniformly at random {1} Evenboth: For each column and row, place 1s uniformly at random noCyle : Length-4 cycle {0} Ignore (do nothing) {1} Eliminate onePerCol: Number of ones per column H : Low density parity check matrix(LDPC_code source Create R = 1/2 low density parity check matrix M : Number of row N : Number of column method : Method for distributing non-zero element {0} Evencol : For each column, place 1s uniformly at random {1} Evenboth: For each column and row, place 1s uniformly at random noCyle : Length-4 cycle {0} Ignore (do nothing) {1} Eliminate onePerCol: Number of ones per column H : Low density parity check matrix)

现代通信系统（实用MATLAB)第三章程序(Modern communication systems (useful MATLAB) Chapter III of the procedure)

The most ofICI avoidance algorithms divide UEs into cell edge and cell centre users based on static thresholds such as path loss, SINR and geometry factors. However, in an actual communication environment, the UE distribution as well as the shape of a cell can be changed. Therefore selection of the cell edge bands is difficult and needs to be optimized according to the time variation environment. Reference [6] proposed an ICI avoidance algorithm that can change cell edge bands dynamically. For each active UE and every time gap (the update duration of CEU/CCU), the threshold is updated based on SINR in order to keep the ratio of number of CEUs and CCUs constant. Then, cell weight is calculated to follow the instant changing of network.

this file is gretz simulink in matlab software