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hhh
analogue model of boost convertor, for high volatge regulation
- 2013-09-15 09:25:31下载
- 积分：1
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ReconocimientoRostros
Describe Describe Describe Describe Describe Describe Describe Describe Describe Describe
- 2013-08-27 01:08:09下载
- 积分：1
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altreadsegy
用C语言读取sgy格式地震数据用C语言读取sgy格式地震数据用C语言读取sgy格式地震数据(Read format using C language sgy seismic data read format using C language sgy seismic data read sgy format seismic data using C language)
- 2014-10-31 09:43:08下载
- 积分：1
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pathPlanningConOpt-master
无人机在威胁区域使用凸优化算法进行路径规划的方法(Path planning for UAVs in the presence of threat zones using convex optimization.)
- 2021-01-17 23:38:48下载
- 积分：1
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最大似然
说明： 两种不同的假设：
H1 ： 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N，f0 为规一化频率
H0 ： xn wn () () = n=1,2,…,N
其中 w[n]是均值为 0，方差为 2 σ n 的高斯白噪声，A 已知，样本间相互
独立，信号与噪声相互独立; 相位θ 是随机变量，它服从均匀分布
1 0 2 ( ) 20 p
θ π θ π ?? ≤ ≤ = ??? 其它
1）改变输入信噪比（改变 A 或噪声方差均可），给定虚警概率，画出
输入信噪比与检测概率之间的理论曲线。(注意：理论检测曲线与样本
数有关) 2）改变样本数，用 Monte-Carlo 实验方法得出 PF＝0.001 时输入信噪比
与检测概率之间关系曲线（至少三条），并得出结论。 3）改变 M-C 实验次数，样本数不变，用 Monte-Carlo 实验方法得出 PF ＝0.001 时输入信噪比与检测概率之间关系曲线（至少三条），并得出
结论(Draw the theoretical curve between input SNR and detection probability)
- 2020-01-03 22:32:15下载
- 积分：1
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ssc32-matlab
control SSC32 servo controller
- 2008-01-18 22:46:30下载
- 积分：1
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psoSVM
说明： pso优化SVM分类，直接调用win32的SVM(pso optimal SVM classification, the SVM directly call win32)
- 2011-03-21 14:44:30下载
- 积分：1
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matlabandccs
matlab和ccs调用的例子,里面一些例子还是很值得看看的!(Matlab and ccs calling example, some examples of which are still very worthwhile to see!)
- 2006-12-02 19:33:34下载
- 积分：1
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SVM-KMExample
对应支持向量机的一些应用的原代码,下载存放在WORK文件夹下即可(Corresponding support vector machines some applications the original code, download stored in the WORK folder can)
- 2007-11-16 16:01:14下载
- 积分：1
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kjtrew.23
This paper presents a new and efficient approach for capacitor placement in
radial distribution systems (RDS) that determine the optimal locations and size of
capacitor with an objective of improving the voltage profile and reduction of power loss.
The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are
used to select the candidate locations for the capacitor placement and in part two a new
algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of
capacitors at the optimal buses determined in part one. The main advantage of the
proposed method is that it does not require any external control parameters. The other
advantage is that it handles the objective function and the constraints separately. The
proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed
method are compared with other methods. The proposed method has outperformed the
other methods in terms of the quality of solution.
OPTIMAL C
- 2013-12-16 14:32:22下载
- 积分：1
