D2D-communication-master

基于ZigBee的室内视频定位跟踪的指纹定位算法仿真，给出仿真结论(Simulation results based on ZigBee for indoor video location and tracking of fingerprint localization algorithm simulation)

用假邻近法（FNN）计算嵌入维数，用于计算关联维数等(With fake neighboring France (FNN) embedding dimension is calculated for calculating the correlation dimension, etc.)

PWM RECTIFIER 3 PHASES

solved knap sack with genetic algorithm in matlab

多光谱读取，tif格式遥感图像在matlab中读取。(Remote sensing image of TIF format read in MATLAB)

KNN用于模式分类的很好的例子，供大家学习，希望对大家有帮助(KNN classification for a good example for all to learn. . .)

MIMO-OFDM Wireless Communications with MATLAB

压缩感知的信号恢复算法集合，包括ISD_v1.1，l1magic-1.1和sparsify_0_5(Compressed sensing signal recovery algorithms collections, including ISD_v1.1, l1magic-1.1 and sparsify_0_5)

is a program which counts the number of primes between 1 and N.

1.附件结构: gatbx.rar: (1)gatbx-origin.zip (2)gatbx-toolbox.rar (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads(1 attachment structure: gatbx.rar: (1) gatbx-origin.zip (2) gatbx-toolbox.rar (3) gatbx-example.rar 2 debugging using Matlab version 6.5, gatbx-toolbox is used during debugging toolkit, and some enthusiastic research has provided the Friends of the toolbox, paste again the reason is because the 6.5 version of the toolkit will be to debug some error, in this version has been corrected, use the toolkit to archive only under gatbx and gatbx Test_fns can be added to the Matlab search path, in addition to the University of Sheffield gatbx-origin is the original version of the tools available box, without making any changes, both to do comparison with the 3.gatbx-example is the study of debugging code and debugging examples illustrate, we can compare against the original book 4. I humbly believe gatbx than Matlab7 new toolbox toolbox under gads more people are familiar with and understand the principles of genetic algorithms and calculations, although less than in the visual )