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KALMAN
卡尔曼滤波的一个简单又实用的例子,帮助理解卡尔曼滤波。(Kalman filter, a simple and practical examples to help understand the Kalman filter.)
- 2007-11-07 22:53:38下载
- 积分:1
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RFMethod2
RF法(JC法)计算工程结构可靠度和失效概率的简单算例2
包含:1.例题文件,2.RF法计算,3.Matab自带函数抽样,4.自编函数抽样(RF Method and Monte Carlo Method for Solving Reliability Index of Structures)
- 2012-08-03 18:58:39下载
- 积分:1
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MATLAB-getrect
matlab 鼠标从一幅图像中截取一个区域,并生成一幅图片(get a picture form a picture)
- 2013-11-27 16:13:19下载
- 积分:1
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MUNK_envcalculation
MUNK剖面传播损失仿真,数据验证在TXT文件中,希望有所帮助。(MUNK sectional propagation loss simulation, data validation TXT file, hope that helps.)
- 2021-04-18 11:18:52下载
- 积分:1
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photo-voltaic-cells
这是我搭建的10W小功率太阳能电池模型,可根据实际情修改太阳能光伏电池的功率、短路电流、开路电压、额定电流和额定电压。另外还有最大功率跟踪模型和高频升压逆变模型也传上来,做得比较简单,有需要的可以参考一下~(Solar photovoltaic power generation system)
- 2016-11-21 22:19:57下载
- 积分:1
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用matlab的ARMA模型)
说明: 用matlab平稳时间序列的分析,建模以及预测(ARMA模型)(Analysis, modeling and prediction of stationary time series with MATLAB (ARMA model))
- 2021-04-29 15:18:43下载
- 积分:1
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PSO_Solving_Multi_Aims
说明: 货物配装问题实质上是背包问题与装箱问题的混合,有着广泛的应用。配装,是指充分利用运输工具(如火车、货车、轮船等,本文主要是指货车) 的载重量和容积,采用先进的装载方法,合理安排货物的装载计划,最大限度地发挥货车容积和承载能力,从而降低配送成本。(Cargo loading problem and knapsack problem is essentially a mixture of bin-packing problem, with a wide range of applications. Loading refers to the full use of means of transport (such as trains, trucks, ships, etc., this paper mainly refers to goods) and the load volume, using advanced loading methods, rational arrangements for cargo loading plan maximizing the volume of goods and carrying capacity, thereby reducing distribution costs.)
- 2009-08-13 16:24:01下载
- 积分:1
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MATLAB
信道仿真,用MATLAB 进行无线信道的仿真技术,重点是多径衰落信道(failed to translate)
- 2013-05-04 13:03:46下载
- 积分:1
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session34
经济学的数值方法 非线性优化。涉及Broyden s Method Powell s Hybrid Method,定价问题(Broyden s Method Powell s Hybrid Method,pricing set)
- 2014-01-15 14:43:22下载
- 积分:1
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Matlab2014_OK
有关matlab的数据和函数可视化部分内容,与数值计算部分相衔接(Matlab data and functions related to the visual part of the content, and the numerical part of the convergence)
- 2014-11-09 16:36:05下载
- 积分:1