-
m10_1
说明: matlab系统仿真实例,m10_1.rar,适合MATLAB初学(matlab simulation examples, m10_1.rar, suitable for beginners MATLAB)
- 2010-03-23 21:27:17下载
- 积分:1
-
tls_esprit
运用旋转不变法估计信号的到达角,仿真了信噪比与均方误差的关系,信号为调制信号可以运行,(Using the rotation is not political reform to estimate the doas of the signal, the simulation the relationship between SNR and the mean square error, signal modulation signals can run,)
- 2014-09-15 08:08:34下载
- 积分:1
-
Matlab工具箱应用 苏金明编
matlab工具箱教程,例子详解,界面,操作教程,通俗易懂(Matlab toolbox tutorials, examples, interfaces, operating tutorials, easy to understand)
- 2019-03-25 21:52:41下载
- 积分:1
-
WLSfinal
This a WLS meshfree code have been developed for curve fitting problems. this archive contains Matlab subroutines
- 2009-02-12 18:02:53下载
- 积分:1
-
2005-EMD
2005版EMD(经验模态分解)完整程序(2005 version of EMD (Empirical Mode Decomposition) integrity procedures)
- 2007-11-15 02:31:44下载
- 积分:1
-
Matlabengineeringworksonthebasisofdetailedaccounto
说明: Matlab工程应用基础详细讲解了工程上的实际问题(Matlab engineering works on the basis of detailed account of the practical problems)
- 2010-04-29 13:33:23下载
- 积分:1
-
tp2Gaussienne
tp2_Gaussien with matlab
- 2011-05-16 03:26:39下载
- 积分:1
-
CFNN
基于补偿模糊神经网络的砂土液化势评价研究附录含有matlab程序,可以参考(CFNN on the evaluation of soil liquefaction potential)
- 2009-04-02 20:40:37下载
- 积分:1
-
BSAS
顺序聚类算法-BSAS,并在MATLAB上实现。在输入矩阵和参数后,对其进行顺序聚类,得到聚类类别标签和聚类中心(Sequential clustering algorithm-BSAS, and implemented on MATLAB. Parameters in the input matrix and its sequential clustering, and cluster by cluster category labels center)
- 2021-04-23 10:08:48下载
- 积分:1
-
multi-ctp1
一个基于阈值的粒子比较准则,用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的;一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。(A comparison based on the threshold criteria for the particle to handle multi-objective constrained optimization problem, part of the guidelines can keep order value is small and the constraint violation in allowing infeasible solutions within the particles, so as to achieve a feasible solution to the infeasible solution The purpose of evolution a new function of crowding, making the Pareto front in the sparse region and near the border points have a greater value of the congestion function, which is the larger the probability of selection so as to constitute solve multi-objective constrained optimization problems hybrid particle swarm algorithm.)
- 2010-11-06 12:50:52下载
- 积分:1