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moshuzhuanhuan
说明: 基于MATLAB的数字基带传输系统仿真实验设计的一篇文章(MATLAB-based digital baseband transmission system simulation experiment design article)
- 2010-04-03 12:07:49下载
- 积分:1
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aaka
基于卡尔曼滤波的动态目标跟踪算法,简单实用(Kalman filter-based dynamic object tracking algorithm, simple and practical)
- 2011-05-10 16:27:46下载
- 积分:1
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Sparse_Kernels_for_Bayes_Optimal_DA
optical character recognition algorithms....
- 2009-10-28 21:12:18下载
- 积分:1
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qpsk
关于qpsk的调制解调的MATLAB仿真源代码,另附有仿真图。(Qpsk the modem on the MATLAB simulation source code, attach a simulation map.)
- 2010-12-24 16:07:58下载
- 积分:1
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bpsk
Bpsk simulation in matlab
- 2014-02-16 03:13:05下载
- 积分:1
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Method-for-solving-EM-problems
提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观
法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)
- 2011-04-26 09:02:53下载
- 积分:1
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graph_unrelated_x
在程序中将不相干的一些数据进行处理,并用mschart绘制出直观图出来(procedures will be irrelevant in some of the information processed and used mschart drawn out direct-viewing chart)
- 2007-05-13 11:58:49下载
- 积分:1
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fichier1
programme en matlab et document pdf
- 2012-08-08 05:36:06下载
- 积分:1
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antcolony
This code is for solving traveling salesman problem using ant colony algorithm.Ant Colony Optimization (ACO) is a population-based approach for solving
combinatorial optimization problems that is inspired by the foraging behavior
of ants and their inherent ability to find the shortest path a food source
to their nest.
- 2015-04-14 23:47:12下载
- 积分:1
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GA
说明: 使用遗传算法解决车间调度问题,并给出甘特图(Use genetic algorithm to solve workshop scheduling problem and give Gantt chart)
- 2020-04-09 15:28:51下载
- 积分:1