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shuzhifenxi-1
MATLAB 用于数学的数学上的数据分析的材料,源码,上面有很微分积分等方法(MATLAB for the mathematical data analysis, mathematical materials, source code, there are differential points above and other methods)
- 2010-06-07 21:33:24下载
- 积分:1
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MATLAB
Mathlab实验报告 包含实例图片,报告(Mathlab test report contains examples pictures, report)
- 2011-01-08 16:58:18下载
- 积分:1
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Modelling.pdf
modelling techniques are explained here
- 2011-07-28 18:55:35下载
- 积分:1
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hmm
DHMM问题3matlab实现,即给出训练数据,求解(A,B,pi)(Implement of DHMM,i.e,given training data ,estimate (P,Q,pi))
- 2014-12-11 22:48:30下载
- 积分:1
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widthA
Code for HOW TO FIND IN A EASSY WAY THE MAXIM AND MINIM WIDTH IN A SIGNAL OSCILLATING FUNCTION
- 2013-05-26 22:04:59下载
- 积分:1
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PSO
粒子群算法,matlab实现,包含注释,适合新手(Particle swarm optimization, matlab implementation, including annotations, suitable for novice)
- 2020-06-21 17:40:01下载
- 积分:1
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MATLAB2
数据资料是数学模型与实际问题接轨的重要途径和手段,有时还可以直接从数据资料中发现规
律组建模型。数据分析和处理是统计学研究的主要内容,也是计算数学的工作领域,近年来随
着计算机科学的发展,对“海量”数据的分析形成了一门新的交叉学科“数据挖掘”。这一章仅
介绍用统计学的最小二乘法构造拟合数据模型,以及用计算数学的函数插值方法处理数据解决
实际问题。(Is a mathematical model of data integration an important practical problem with the ways and means, and sometimes directly from the data can also be found in the law of the formation model. Statistical data analysis and processing is the main research, but also work areas of computational mathematics, computer science in recent years, along with the development of the " mass" analysis of the data formed a new cross-disciplinary " data mining." This chapter describes only the structure with a statistical method of least squares fit data models, and computational mathematics and data processing function interpolation methods to solve practical problems.)
- 2010-02-21 11:39:43下载
- 积分:1
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DFT
说明: 六个傅里叶变换的例子,包括DFT,DTFT等(Fourier transform of the six examples, including DFT, DTFT, etc.)
- 2011-03-30 08:18:45下载
- 积分:1
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starfish-detection-2003
对于海星的检测 步骤 运用理论的论文,文中包含了 不同的分类器(seastar detection)
- 2015-03-26 05:51:54下载
- 积分:1
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RSSI的定位
说明: 基于RSSI的定位,已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置。(Based on RSSI positioning, the transmitting signal strength of the transmitting node is known, and the receiving node calculates the propagation loss according to the received signal strength. The propagation loss is converted into distance by using the theoretical or empirical signal propagation model, and then the position of the node is calculated.)
- 2020-10-07 11:59:33下载
- 积分:1