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lqrpilot
nice model programs uploaded...........................................
- 2011-05-15 16:04:22下载
- 积分:1
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aa66
一个很好的学习图像处理的函数的例子程序,对于初级学习者来说,有很好的帮助,对于初学习者非常适合!(a good learning image processing function examples procedures for primary learners, good help, very suitable for early learners!)
- 2007-03-22 23:22:49下载
- 积分:1
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ieee1284
IEEE-1284 implementation for parport.
- 2014-09-20 23:38:43下载
- 积分:1
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test
对运动估计传统的各个方法,例如全搜索,菱形法,自适应,三步法,四步法,以及它们的几种改进的matlab实现(Motion estimation traditional methods, such as full search, diamond method, adaptive, three-step, four-step, and their several improvements matlab implementation)
- 2013-03-02 11:37:01下载
- 积分:1
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maxsnr
相控阵波束形成仿真程序,该程序使用最大噪声的方法对加权函数进行优化(Phased array beam forming simulation program, the program uses the method of maximum noise weighting function to optimize)
- 2013-08-23 11:46:05下载
- 积分:1
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minpso
无约束条件的粒子群优化算法代码,简单实用!(No constraints PSO algorithm code, simple and practical!)
- 2013-12-18 16:00:21下载
- 积分:1
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MATLAB-boat
使用粒子滤波器,模拟雷达对目标物体的跟踪过程(Using a particle filter, simulated radar target object tracking process)
- 2020-07-26 22:38:41下载
- 积分:1
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粒子群优化算法求解最优路径
粒子群优化最优路径算法,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优(Similar to simulated annealing (SA), particle swarm optimization (PSO) optimizes the optimal path by iteratively searching for the optimal solution from a random solution. It also evaluates the quality of the solution by fitness, but it is simpler than the genetic algorithm rules. It does not have the crossover and Mutation operations of genetic algorithm. It finds the global optimum by following the best values currently searched.)
- 2018-10-26 15:21:31下载
- 积分:1
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zhangxiaoyong
simulink的初始化(包括输入输出个数、状态初值、采样时间等)以及运行。(simulink initialization (including the number of input and output, initial state, the sampling time, etc.) and run.)
- 2011-08-31 11:18:22下载
- 积分:1
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matlab_bayes_classifier
使用matlab编写的bayes分类器,朴素贝叶斯分类器(Prepared using bayes classifier matlab)
- 2010-06-24 09:48:44下载
- 积分:1