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phd and matlab
本例利用C MEX及API文件实现matlab与PHD只见的通讯.能实现数据的存取。(MEX and C API documentation can be achieved with Matlab PHD seen communications. To achieve access to data.)
- 2005-05-24 15:19:44下载
- 积分：1
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Three_N_KD
k-d 搜索，可以搜索大量二维数据点的距离，(k-d tree)
- 2014-12-13 21:57:42下载
- 积分：1
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PAliangzhen
说明： 该代码为灰度投影算法进行两帧图像的匹配及配准的代码(The code for the gray projection algorithm and the two images match registration code)
- 2011-03-08 10:54:30下载
- 积分：1
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UT_demo
二维UT变换例子，用于演示UT变换，对于学习无迹卡尔曼滤波有一定帮助(UT transform two-dimensional example for demonstration UT transform learning unscented Kalman filter have some help)
- 2021-01-13 20:18:47下载
- 积分：1
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IEEE802.11DCF
MATLAB仿真IEEE802.11DCF协议吞吐量图形(MATLAB simulation IEEE802.11 DCF protocol throughput graphics)
- 2015-04-21 14:55:49下载
- 积分：1
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adaptive_filtering_primer_with_matlab
Source Code for Adaptive Filtering Primer
- 2007-07-04 14:27:36下载
- 积分：1
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PSO_MATLAB
这段代码实现的是基于MATLAB的MIMO-OFDM的系统多用户检测，采用的算法是粒子群优化算法，他能提高系统的性能(This code implementation is based on the MATLAB MIMO- OFDM system, multi-user detection is the particle swarm optimization algorithm, the algorithm used he can improve the performance of the system)
- 2015-04-21 11:33:13下载
- 积分：1
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chaos-duffing
duffing（多芬）混沌系统的混沌与临界混沌的图像(Duffing (more fun) Chaos and Critical Image Chaos)
- 2020-07-03 08:40:01下载
- 积分：1
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Simulation1
信标节点位于等边三角形顶点的仿真Simulation1(The Simulation Simulation1 beacon node is located in an equilateral triangle vertices)
- 2013-04-11 13:37:05下载
- 积分：1
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logisticsuanfa
多目标优化
相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)
- 2010-09-03 23:14:55下载
- 积分：1
