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16QAM_BER
Quadrature Amplitude Modulation :QAM 16
simulation study
- 2010-06-25 06:35:07下载
- 积分:1
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SNR_and_MSE
说明: mmse与snr的算法仿真,最小均方误差和最大信噪比,获得自适应算法的最优权,实现抗干扰(mmse snr algorithm and simulation, the minimum mean square error and maximum signal to noise ratio, the right of access to optimal adaptive algorithm to achieve anti-jamming)
- 2010-03-31 22:44:19下载
- 积分:1
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GA_main
说明: 遗传算法整套源程序,包括初始种群,计算适应度值,选择,交叉变异等(Genetic algorithm source code package, including the initial population, calculation of fitness value, selection, crossover and other variant)
- 2009-08-21 19:03:03下载
- 积分:1
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linemotortwo
采用传递函数的转速、电流双闭环直渡调速系统的仿真模型(Using the transfer function of the speed of the current double closed loop the straight crossing speed control system simulation model)
- 2013-04-09 21:26:02下载
- 积分:1
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rls
最小二乘法在自适应方面的应用,并且该算法能过快速收敛(I CAN PLAY)
- 2012-02-27 18:16:08下载
- 积分:1
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ocr_Stroke
处理文字得到笔画,内有实验图片,实验阶段,可以运行,环境matlab2009a(Word processing to get strokes, there are experimental pictures, the experimental stage, you can run, environmental matlab2009a)
- 2014-08-25 13:13:50下载
- 积分:1
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liwd
以simulink为基础平台,对信号调制解调方式2ASK、2FSK、2PSK信号分别仿真(2ASK、2FSK、2PSK,simulink)
- 2009-06-12 20:39:47下载
- 积分:1
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extractHOGFeatures
source code to extract HOG feature. HOG feature is a kind of feature in computer vision.
- 2015-03-11 14:39:20下载
- 积分:1
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Adaptiveconstrainedparticleswarm
针对粒子群优化算法应用于约束优化问题时易陷入局部极小值的问题, 提出了一种改进的粒子群优化算
法. 该算法综合了约束优化问题的目标函数值和约束函数的违反度值作为粒子群优化算法的双适应度值, 采用了
双适应值动态判断粒子群优化算法中粒子的优劣. 违反度值的计算引入了自适应加权系数, 相应地提出了调整各
权系数的自适应策略, 并改进了粒子群优化算法的粒子竞争选择策略, 拓展了粒子群优化算法的单适应值的应用
范围.应用约束自适应粒子群优化算法实现了城市水厂的节能优化调度. 结果表明, 该算法收敛速度快且结果可
靠. 粒子群优化算法为解决工程约束优化问题提供了一条可行途径(Considering that theparticleswarmoptimization( PSO) algorithmcanbeeasily trappedinto the
local minimal valueinconstrainedoptimizationproblems, amodifiedconstrainedparticleswarmoptimiza
tionalgorithmwasproposed. Theobjective functionvalue andthe violationvalue of constraint functions
wereeffectively combinedto formtwofitnesses, andthefitnesseswereadoptedto estimate if theparticle
wassuperior or not ina dynamicway. Theadaptiveweight functionwasadoptedinthe calculationof the
violationvalue. The strategy of keeping anadaptive relationof weight coefficientswasproposed, andthe
strategyof swarmtournament selectionwasimproved. Theapplicationlocalizationsof thesinglefitnessof
PSOwerewidenedaswell. ThemodifiedconstrainedPSOalgorithmwasappliedtosolveenergyoptimiza
tionproblemsof theurbanwater supplyprocess, whichshowedthat theconvergent speedof thealgorithm
isfast andthe result isvalid. Afeasibleapproachto solvetheindustrial constraint optimizationproblems
withPSOwasprovided.)
- 2012-04-27 20:26:28下载
- 积分:1
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autoregression
Input-Output Time-Series Prediction, Forecasting, Dyanamic modelling
Nonlinear autoregression, System identification and Filtering
- 2013-12-13 05:43:03下载
- 积分:1