BINARY-GENETIC-ALGORITHM

线性调频信号的累加器实现，用于产生线性调频信号，线性调频信号可以用于超声信号的发射，音箱的检测等。(Linear frequency modulated signal to achieve the accumulator, for the production of linear FM signals, linear frequency modulated signal can be used to launch ultrasonic signals, such as speaker detection.)

用matlab编写的SCME空间信道模型，可以用于移动通信中SCME的空间信道模型，可直接下载后应用(Using matlab written SCME space channel models can be used in mobile communications SCME space channel models can be downloaded directly after the application of)

OFDM 系统仿真 基于802.11a系统的仿真 OFDM的 IDFT/DFT实现(OFDM system simulation based on 802.11a OFDM system simulation of IDFT/DFT achieve)

数字图像处理姚敏版第九章图像检测与分割部分例子的matlab代码.(Digital Image Processing Yao Min EDITION Chapter IX Some examples of image detection and segmentation matlab code.)

eigen face matlab source code

控制系统仿真与SIMULINK，通过Labview建立过程控制仿真模型，进行仿真(Control system simulation with SIMULINK, through the process of establishing Labview control simulation model for simulation)

i upload a matlab code which can calculate density of atmosphere and temperature in altitude of over 100 km

经常看到很多朋友问定步长的龙格库塔法设置问题，下面吧定步长四阶龙格库塔程序贴出来，有需要的可以看看 (Often see many of my friends ask determining step Runge-Kutta method set problem, the following step you set the fourth-order Runge-Kutta procedures paste out, there is a need to look at the)

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.

粒子群算法是改进后的智能优化算法，它是模拟鸟类觅食的过程的一种优化算法，采用的压缩miu值得粒子群算法(PSO is improved intelligent optimization algorithm, which is a simulation of birds foraging in the process of an optimization algorithm, using the compression miu worth PSO )