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zdcf_v2.2
对离散序列计算其相关函数，使用基于z变换的离散自相关函数计算(z transformed correlation function calculation.)
- 2015-01-04 11:46:22下载
- 积分：1
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gsc1
generalized sidelobe cancellation implented frome "Adaptive filter theory 3th edition, page 320-335"
author: ب ه م ن ی ا ن د ا ن ش گ ا ه ش ی ر ا ز
- 2013-07-17 13:02:03下载
- 积分：1
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butterfly-option-strategy
期权蝶式价差策略:把价差策略分解成单个期权的组合并分析期初成本和期末收益(Butterfly spread options strategy: to spread down into a combination of a single policy options and cost analysis at the beginning and end of the income)
- 2014-09-11 10:42:26下载
- 积分：1
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Adaptivno
说明： Student adaptive PID regulator
- 2020-04-27 17:37:37下载
- 积分：1
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12
说明： 一个关于adaboost算法的matlab程序,对开始接触adaboost研究的人,有实用价值，并且蛮容易上手(AdaBoost algorithm on matlab procedures, AdaBoost study came into contact with people who have practical value, and quite easy to use)
- 2008-04-17 17:35:07下载
- 积分：1
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simulation_2psk
求出以dB为单位的给定比特信噪比的误符号率(Find the symbol error rate of a given bit signal-to-noise ratio in dB)
- 2013-04-23 23:20:44下载
- 积分：1
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Sequence
a seq algorithm, comparing string, string and sequence alignment
- 2010-06-11 17:15:33下载
- 积分：1
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chap03
电子工业出版社翻译Sangjit K.Mitra的数字信号处理课本源程序(Electronic Industry Press Translation Sangjit K. Mitra Digital Signal Processing source textbooks)
- 2010-10-26 21:48:21下载
- 积分：1
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all
生成验证平稳分布用matlab，生成的和理论的对比(Generate a smooth distribution of authentication to use matlab, generated and theoretical comparison of)
- 2008-03-11 15:04:18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
