daima

利用matlab 开发的另一遗传算法工具箱，运行速度快，可选功能多，是一个相当不错的工具箱。(Another development of the use of matlab genetic algorithm toolbox, running fast, many optional features, are a fairly good toolbox.)

说明：  整理收集的用matlab编写的关于无线传感器LEACH协议的源代码(Organize the collection prepared by the use of matlab wireless sensor LEACH agreement on the source code)

高斯拟合的应用，在曲线方面的应用，个人认为很有用(Gaussian fitting of the application, the application of the curve, think useful)

MatLab编写的均值滤波、中值滤波、高斯滤波 等图像处理函数(Written in MatLab mean filtering, median filtering, Gaussian filtering and other image processing functions)

线性调频雷达的程序计算。对于初学者来说，可以看看。希望有所帮助。(for this function. if needed,you are welcomed to download it.)

首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(failed to translate)

Set of tools to perform transformations between projection, ellipsoidal and cartesian coordinates in either direction. (Set of tools to perform transformations be tween projection. ellipsoidal and cartesian coordinates in eith er direction.)

这是我学习《MATLAB程序设计与应用》刘卫国、陈昭平　 一书时第一章和第二章的课后习题 目录 exponential_e.m exsub.m fheritage.m initialise.m matrix.m matrix2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_10_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m(This is my learning "MATLAB design and application procedures," Liu Weiguo, Chenzhaobeng a first book chapters I and II of the after-school catalog exponential_e.m exsu Exercises b.m fheritage.m initialise.m matrix.m matrix 2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_ 4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_1 0_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m)

说明：  基于拥挤距离的多目标粒子群优化算法，包含测试函数(Multi-objective particle swarm optimization algorithm based on crowded distance, including test functions)

经典的国外bitshop关于机器学习和模式识别教程，全是英文，内容详细(Classic foreign bitshop tutorial on machine learning and pattern recognition, all in English, detailed)