gallager1_data_1008_1_2

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.)

很好用的matlab批量修改文件名的程序(The good use matlab bulk modify the file name of the program)

克里金法假定采样点之间的距离或方向可以反映可用于说明表面变化的空间相关性。克里金法工 具可将数学函数与指定数量的点或指定半径内的所有点进行拟合以确定每个位置的输出值。克里金法是一个多步过程；它包括数据的探索性统计分析、变异函数建模 和创建表面，还包括研究方差表面。当您了解数据中存在空间相关距离或方向偏差后，便会认为克里金法是最适合的方法。该方法通常用在土壤科学和地质中。(This function completes what I have started with the functions variogram and variogramfit. It is not intended to be a highly optimized code for performing kriging but may have educational value. Note that for using kriging, you should download the latest version of variogramfit. kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform an ordinary kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the alg)

说明：  关于用matlab实现的曲线拟合50000个点的程序，不知道对大家有没有用(Matlab on the use of curve fitting to achieve 50,000 points, the procedures, I do not know all of you there is no use)

mantenimiento de portatiles, revista

模拟渗流集群效应的基本规律，欢迎大侠们的指导和讨论(Simulation of the basic rules of the seepage cluster effect, welcome the guidance and discuss the warrior)

matlab image processing project

《matlab应用大全》赵海滨编著，清华大学出版社，第四章主讲字符串分析(The application of matlab Zhao Haibin compiled, tsinghua university press, the fourth chapter analysis on strings)

This is an matlab source code for smoothed particle hydrodynamic simulaiton. It include matlab routines and input data.

example codes for pattern recongnition fourth edition