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Lti_system
连续LTI系统的时域分析连续时间系统的单位冲激响应、单位阶跃响应在线性系统分析中的作用、地位及其MATLAB实现(Lti system for the time domain analysis)
- 2010-12-06 22:38:16下载
- 积分：1
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Kalmanfiltering_theory_and_practice_using_MATLAB
matlab英文教材：卡尔曼滤波的方法与实践(matlab English materials: Kalman filtering method and practice)
- 2010-12-07 02:18:18下载
- 积分：1
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UWB-code
UWb超宽带的仿真代码.matlab编写的,可以参考(UWb UWB simulation code. Matlab prepared, you can refer to)
- 2014-02-18 16:04:51下载
- 积分：1
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chessboard
Demo of Hough Transform for straight lines
This assumes that the Sussex vision library is in your Matlab path.
- 2010-02-12 20:22:22下载
- 积分：1
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optimun_m
Optimum matlab implementation
- 2010-11-21 00:27:54下载
- 积分：1
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shiyan1_2
采用积分器方法在 SIMULINK 上建立微积分方程的模型
(Modeling methods using integral calculus equations on SIMULINK)
- 2015-02-14 23:09:27下载
- 积分：1
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Haar-likeMatlab
矩形遍历检测窗口演示Matlab源代码,用于理解Haar-like的功能(Haar-like rectangular detection window traversal demo Matlab source code for understanding Haar-like functions)
- 2013-11-27 09:49:13下载
- 积分：1
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antsymbol
pheromone levels of terms based on the quality of the best rule among the rules
constructed improves the predictive accuracy for some datasets.
- 2010-09-06 21:23:06下载
- 积分：1
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Simulink
介绍simulink的详细使用方法，方便初学者使用(Simulink detailed introduction to use, convenient to use for beginners)
- 2008-03-19 16:17:44下载
- 积分：1
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PSO-evolutionarycomputation
粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究
PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍
同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)
- 2008-03-19 20:51:36下载
- 积分：1
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