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Copula

于 2016-04-27 发布文件大小:266KB

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copula理论及应用实例，内含一个程序实例与两个excel文件(Copulas connect the theory and applications, including a program instance and two excel)

文件列表：

第6章 Copula理论及应用实例
..........................\example06_01.m,8161,2010-05-13
..........................\hushi.xls,365056,2009-11-08
..........................\shenshi.xls,365056,2009-11-08

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41438824baluojb
包络检波matlab下实现的包络检波算法。先对信号进行(Matlab envelope detector envelope to achieve detection algorithm. First the signal)

2010-10-15 21:01:23下载

积分：1
music_program
用matlab编写的music程序，希望对大家有用(using Matlab music prepared by the procedures in the hope that it may be useful for )

2006-10-22 21:28:37下载

积分：1
lagrange
拉格朗日插值，利用拉格朗日法进行插值计算，欢迎下载，谢谢(lagrange interp)

2013-09-21 11:03:22下载

积分：1
gauss
此文件为MATLAB的M文件，文件包含一个function为GUASS消元法，可以求任意阶数的线性方程组的解。(This file MATLAB M-files, the file contains a function for GUASS method of elimination, you can seek the solution of the linear equations of any order.)

2012-11-14 21:02:48下载

积分：1
kaofun
使用起来非常方便，有借鉴意义哦，相关分析过程的matlab方法。( Very convenient to use, There are reference Oh, Correlation analysis process matlab method.)

2016-05-10 13:34:20下载

积分：1
myfizzy
这个是我对于模糊pid控制自己进行的simulink仿真，很有用。(This is my fuzzy pid control themselves for the simulink simulation, very useful.)

2010-11-25 21:36:25下载

积分：1
pcamfile
in this mfile i have wrote the principal component analysis algorithm in matlab.

2013-10-07 18:23:26下载

积分：1
AFEM@matlab
EM@matlab是一个有限元工具包，适用于静力和偏微分方程的演变(AFEM@matlab is a MATLAB package of adaptive finite element methods (AFEMs) for stationary and evolution partial differential equations in two spatial dimensions)

2009-06-30 15:02:24下载

积分：1
INS-and-dead-reckoning-combination
捷联惯导与行位推算，构成组合导航系统，INS和航位推算组合(The SINS line reckoning that constitute the integrated navigation system, INS, and the combination of dead reckoning)

2020-08-28 09:48:12下载

积分：1
Main
Abstract—Demand Response (DR) and Time-of-Use (TOU) pricing refer to programs which offer incentives to customers who curtail their energy use during times of peak demand. In this paper, we propose an integrated solution to predict and re-engineer the electricity demand (e.g., peak load reduction and shift) in a locality at a given day/time. The system presented in this paper expands DR to residential loads by dynamically scheduling and controlling appliances in each dwelling unit. A decision-support system is developed to forecast electricity demand in the home and enable the user to save energy by recommending optimal run time schedules for appliances, given user constraints and TOU pricing the utility company. The schedule is communicated to the smart appliances over a self-organizing home energy network and d by the appliance control interfaces developed in this

2020-09-23 09:57:52下载

积分：1

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Copula

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