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biSAR_simulate
双站SAR回波仿真及成像处理,成像处理采用非线性CS算法(bistatic SAR echo simulate and imaging)
- 2011-01-12 21:45:05下载
- 积分：1
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zjmohupid1233
建立了风电场模型，并采用模糊前馈的方法进行功率控制(Fan control model, the simulation results)
- 2014-10-14 16:05:39下载
- 积分：1
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lqr-F16
f16横侧向特征跟配置控制设计和LQR最优控制设计(F16 the eigenvalues of the horizontal lateral configuration and LQR optimal control design)
- 2020-07-03 14:20:01下载
- 积分：1
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CVCA-MATLAB
cv-ca运动模型的滤波实例源码，又需要的同学赶紧下吧，很简单的入门程序(cv-ca motion model of the filter source code examples, but also those students in need quickly under the bar, a very simple entry procedures)
- 2009-09-11 21:01:37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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dsp-3
Digital filter banks
- 2014-12-04 23:41:29下载
- 积分：1
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spectrul
完整的谱聚类运算过程，使用了杰卡德相似系数求取相似性矩阵。(Complete spectral clustering process)
- 2018-05-04 11:51:00下载
- 积分：1
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kaiser
kaiser window technique
- 2010-11-14 04:56:46下载
- 积分：1
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Etalon_Pattern
空气隙标准具干涉环的matlab画法！来自萝卜驿站！(plot the pattern of the etaon ring!)
- 2012-08-27 11:37:01下载
- 积分：1
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rand03.6
In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role. The installation of DGs directly affects the power requested or purchased. The sizing and placement of DGs in the system must be optimal because a wrong choice has a negative impact on the system behavior. To solve this combinatorial problem, an algorithm known as Firefly algorithm is proposed in this paper. This is a meta-heuristic algorithm inspired by the behavior of fireflies flashing. The main objective of firefly flash is to act as a signaling system to attract other fireflies. Networks tested IEEE69-bus and IEEE33-bus are used to evaluate the effectiveness of this method. The results are compared with those obtained by genetic algorithm (GA) to IEEE69-bus, and Shuffled frog leaping algorithm (SFLA) for IEEE 33-bus.
- 2013-12-16 14:22:43下载
- 积分：1
