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8PAM
通信系统中的信号调制与解调技术，对信号采用8PAM的脉冲幅度调制进行仿真分析(Communication system signal modulation and demodulation techniques, using a pulse width modulated signal 8PAM of simulation analysis)
- 2014-12-25 10:43:27下载
- 积分：1
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Harris-corner
MATLAB下Harris算法的角点检测(Harris corner detection algorithm under MATLAB)
- 2013-12-10 22:24:13下载
- 积分：1
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caikuang
数模中采矿问题的matlab源码，希望有人能用！(few Die mining source of Matlab, hoping that someone can use!)
- 2007-05-07 20:17:34下载
- 积分：1
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Mmodify-music-ROOT-MUSIC
为提高常规MUSIC算法的分辨率，仿真了求根MUSIC算法。注释详细，适合初学者(In order to improve the resolution of conventional MUSIC algorithm, simulated Root MUSIC algorithm. Detailed notes, suitable for beginners)
- 2013-12-05 22:45:03下载
- 积分：1
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matlab_master
MATLAB的进阶书籍，内有MATLAB源码，值得仔细阅读。(MATLAB advanced books, containing MATLAB source code, it is worth careful reading.)
- 2009-10-15 22:15:20下载
- 积分：1
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43680520kalmanfilter11
在Matlab环境下的kalman滤波程序，有助于理解kalman的原理及其应有(1234566KALMAN)
- 2009-12-13 20:24:09下载
- 积分：1
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mclt
说明： mclt变换的源程序,希望对大家有帮助,是我自己编写的!(Transform mclt source, we would like to help)
- 2009-08-08 18:49:41下载
- 积分：1
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interp_correlation1
信号提取是信号处理的一个重要技术，如何评价提取信号的性能，相关系数就是一个很好的评价指标！(signal from the signal processing is an important technology, how to assess the performance of signal extraction, the correlation coefficient is a good evaluation index!)
- 2006-06-29 17:05:11下载
- 积分：1
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ArtechHouseSpaceTimeCodesAndMIMOSystems
Artech House
Space-Time Codes and MIMO Systems
- 2011-01-12 08:31:43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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