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adacode
matlab codes for RLS Algorithm Demo
- 2010-12-25 17:31:36下载
- 积分：1
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matlab_codes
matlab code to detect the different ECG features
- 2013-04-19 02:04:03下载
- 积分：1
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H6S2
digital signal processing project
- 2013-12-26 17:21:59下载
- 积分：1
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spwm
单极性SPWM控制和逆变器主电路的仿真模型
就基波性能来讲，单极性SPWM在线性调制下谐波性能优于双极性调制(Single polarity SPWM control and inverter main circuit simulation model
In terms of its fundamental properties, single polarity SPWM modulation in the linear harmonic performance is superior to the dual polarity modulation
)
- 2016-05-24 10:39:12下载
- 积分：1
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power_thermal
power_thermal.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_thermal.rar,
Power electronics field matlab simulation file, has already been
verified, the normal operating procedures)
- 2013-07-14 12:51:24下载
- 积分：1
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PRACTICAL 3 pac3
PRACTICAL 3 CODES CONTROL SYSTEM
- 2020-06-24 03:40:02下载
- 积分：1
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cma-8psk
说明： 关于8psk的用星座图检验结果的matlab仿真程序(Constellation on the 8psk of test results with matlab simulation program)
- 2011-04-07 16:00:41下载
- 积分：1
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All-of-Statistics
经典统计学 概率论基础,是学习MATLAB的经典手册(All of Statistics)
- 2013-10-10 20:39:57下载
- 积分：1
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multicore_2009-03-20
Multicore - Parallel Processing on Multiple Cores (Multicore- Parallel Processing on Multiple Cores )
- 2009-03-29 04:36:58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
