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3
说明： 迭代法
迭代式阈值选取的基本思路是:首先根据图像中物体的灰度分布情况， 选取一个近似阈值作为初始阈值(Iterative threshold selected basic idea is: First, the gray-scale distribution of objects in the image, select an approximate threshold as initial threshold)
- 2013-04-12 16:47:01下载
- 积分：1
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LBP
Local binary pattern一个非常有用的代码，含一个自己写的例子。(Local binary pattern a very useful code, including a write your own example.)
- 2021-01-10 15:28:50下载
- 积分：1
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chinese_nonlinear-optics
非线性光纤光学中文教程，深入浅出，本人看完以后觉得收益很大。(Nonlinear fiber optics Chinese guide, a simple, I think after reading a great income.)
- 2014-01-02 20:44:47下载
- 积分：1
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AD835
说明： AD835的仿真模型,用matlab的工具箱，simulink搭建的(AD835 simulation model, using matlab toolbox, simulink built)
- 2008-09-24 17:30:28下载
- 积分：1
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TurboDecode_Matlab
主要是TURBO码 介绍了turbo码的编码和译码(turbo code)
- 2010-05-11 11:43:49下载
- 积分：1
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EM-BASED
EM-Based Adaptive Frequency Domain Estimation
of Doppler Shifts with CRLB Analysis for
CDMA Systems
- 2013-02-08 19:56:43下载
- 积分：1
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uvw
UVW caluculation of wind vector In RADAR
- 2014-01-03 02:02:56下载
- 积分：1
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MatlabV4
Proakis_Contemporary Communication Systems using MATLAB
- 2009-06-07 05:49:35下载
- 积分：1
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JPDA
多目标处理程序 matlab 数据关联的JPDA(Multi-target processing program matlab data associated with the JPDA)
- 2012-03-20 17:11:54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
