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normal
Maximum likelihood estimation for normal
- 2010-09-23 04:25:02下载
- 积分：1
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DFIG_control
这是双馈电机空载情况下，转子侧变流器的控制电路。(This is a doubly-fed machine no-load cases, the rotor side converter control circuit.)
- 2009-04-15 21:32:32下载
- 积分：1
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complex_complex
复杂网络生成程序，该程序详细介绍了复杂网络生成机理，对初学者帮助很大(Complex network build program, which details the formation mechanism of complex networks, very helpful for beginners)
- 2010-11-26 20:13:58下载
- 积分：1
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neiloskwdikas
Stochastic Models their Applications,Filter kalman
- 2015-03-26 20:32:07下载
- 积分：1
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2343323423
说明： 打点成功的程序段 分享一下，大家互相学习(RBI to share the success of the segment, we learn from each other)
- 2010-04-24 21:44:22下载
- 积分：1
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programe
胡广书例题matlab源程序,每章节均有,比较精彩(Hu Guangshu Examples Matlab source files, each chapter is more exciting)
- 2007-05-04 14:01:43下载
- 积分：1
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re1
The model used for creating the reference voltage is shown
in Fig. 4. First, photovoltaic output current (Ipv) and output
voltage (Vpv) are passed through a first order low pass filter
with a magnitude of G = 1 and a time constant of T = 0.01
seconds in order to filter out the high frequency components
or harmonics from these signals as shown in Fig. 5 and Fig. 6.
The filtered current and voltage signals (Ipv_F and Vpv_F) are
then fed into the MPPT control block that uses the Incremental
Conductance Tracking Algorithm. An algorithm that is based
on the fact the slope of the PV array power curve shown in
Fig. 7 is zero at the Maximum Power Point (MPP), positive on
the left of the MPP, and negative on the right. The MPP can
thus be tracked by comparing the instantaneous conductance
(I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):
- 2013-07-23 17:51:25下载
- 积分：1
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基于并联自适应随机共振的微弱信号检测方法
实现信号的随机共振处理,包括matlab代码的实现(introduce the procedding of signal)
- 2021-04-15 16:48:54下载
- 积分：1
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Matlab(fopenfseekfreadfclose)
关于matlab中文件打开关闭读取等操作的命令解释(Open the file on matlab operations such as close reading command interpreter)
- 2010-12-19 10:59:07下载
- 积分：1
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deubechies
for using this code need to use signal toolbox and general toolbox in your matlab
Using Daubechies transform to compress the image (showing remaining coefficen of Thresholded Image)
and then using Inverse 2D Daubechies transform and finding the SNR to see how well decompression works
- 2013-12-11 17:25:41下载
- 积分：1
