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antenna_arrays
Ardtool是Matlab的图形用户界面，用于分析天线阵列的不同类型。认识的天线辐射模式的程序，以及天线的类型分类编程(Ardtool is a Matlab graphical user interface for the analysis of the different types of antenna arrays. Understanding antenna radiation pattern procedures, and antenna type classification program)
- 2010-08-10 09:11:37下载
- 积分：1
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colorcode
MATLAB的颜色代码，基于RGB的代码形式，可作为编写时检索用。(MATLAB color code)
- 2010-03-14 13:36:46下载
- 积分：1
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342225144NoisenewTVInpaintingTest
说明： 基于TV模型的图像快速修复自适应方法，欢迎大家分享(TV model based on adaptive methods of image quick fix, please share)
- 2011-04-11 15:31:34下载
- 积分：1
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mypls
Partial Least Squares regression bilinear factor model 的输出源码(Partial Least Squares regression bilinea r factor model output FOSS)
- 2007-06-15 20:47:20下载
- 积分：1
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Particle-swarm-optimization
多极值点函数,包含有多个极小值点，要找到全局最小值点。属于无约束条件静态随机搜索最优化问题，有详细注解说明。(More extreme value point function, contains multiple minimum points, to find the global minimum point. Static random search optimization problem belongs to the unconstrained conditions, there are detailed notes.)
- 2013-12-12 20:34:31下载
- 积分：1
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dianjifankuikongzhiZH
说明： 转速、磁链闭环控制的矢量控制交流调速。控制电路是由滞环脉冲发生器、电流变换与磁链观测的封装模块、比例放大器模块、函数模块、常数模块（用于额定转速和转子磁链信号的给定）、转速调节器ASR、转矩调节器ATR、磁链调节器APR、以及三二变换器模块。(Vector Control AC Speed Regulation with Closed Loop Control of Speed and Flux Link)
- 2018-12-29 16:54:36下载
- 积分：1
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Vectors
this is a code to use for speech recognition, it has another code instead of this code, call me for more detail
- 2010-02-05 00:39:08下载
- 积分：1
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chap4
被控对象为G(S)=400/（s*s+500s）,首先运行模糊控制器程序chap4_2.m,并将模糊推理系统保存在a2中，然后运行模糊控制SIMULIK程序。位置指令为0.5sin（10t）,simulink见chap4_3(Controlled object is G (S) = 400/(s* s+500s), first run the fuzzy controller program chap4_2.m, and stored in a2 fuzzy inference system, and then run the fuzzy control SIMULIK program. Position command is 0.5sin (10t), simulink see chap4_3)
- 2013-07-22 21:28:56下载
- 积分：1
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gaussian_stages
impyramis explanation
- 2013-02-19 08:30:33下载
- 积分：1
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FA2
一种改进的萤火虫算法解决动态0-1背包问题。经过测试，算法就有良好的性能。(Firefly Algorithm (FA), Genetic Algorithm (GA) and Differential
Evolution (DE) have been widely used for static optimization problems, but the applications of those
algorithms in dynamic environments are relatively lacking. In the present study, an effective FA introducing
diversity with partial random restarts and with an adaptive move procedure is developed and proposed
for solving dynamic multidimensional knapsack problems. To the best of our knowledge this
paper constitutes the first study on the performance of FA on a dynamic combinatorial problem. In order
to uate the performance of the proposed algorithm the same problem is also modeled and solved by
GA, DE and original FA. Based on the computational results and convergence capabilities we concluded
that improved FA is a very powerful algorithm for solving the multidimensional knapsack problems
for both static and dynamic environments.)
- 2015-03-25 20:28:10下载
- 积分：1
