FFTexample

Demonstration of Root Finding using False Position

给出了不同分割数量V条件下的系统的PAPR性能，分割方法为随机分割，辅助相位集合的相位数P=4(即 可选择的范围为{0,π/2,π,3π/4})，N=128，子载波采用QPSK调制，仿真的OFDM符号数为1000个。(V gives the number of different partitions of the system under PAPR performance of random segmentation segmentation, the number of secondary phase of the phase set P = 4 (to select the range {0, π/2, π, 3π/4} ), N = 128, sub-carrier using QPSK modulation, simulation of the OFDM symbol number 1000.)

城市消防站点选址问题的代码 用于求出两点间最短距离以及选址最佳坐标(City Fire Station Location code is used to calculate the shortest distance between two points and the location of the best coordinate)

analog modulation and coding technique

遗传算法简明教程，附带程序，深入浅出讲解(Simple genetic algorithm tutorial, with procedures in layman' s language to explain)

matlab code for image preprocessing

一维扩散，耦合数值模拟主程序，这个程序还算比较清楚了。选自一篇文章的主程序(1D，Predator-Prey Model Simulation)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.

说明：  matlab 基于云模型的模糊综合风险评估源代码(Source code of fuzzy comprehensive risk assessment based on cloud model in MATLAB)

阿兰方差的基本实现，可对滤波效果进行检验。(Allan scheme,which can terify the results of denoising in terms of three noise factors.)