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雷达系统设计matlab仿真RadarPmatlab
雷达系统设计matlab仿真，包括雷达模糊函数，脉冲压缩，面杂波和体杂波，动目标显示和杂波抑制，相控阵，目标跟踪，电子对抗，雷达截面积，高分辨率合成孔径雷达。(Matlab Simulations for Radar Systems Design)
- 2020-07-08 08:58:58下载
- 积分：1
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analogModulation
analogique simulation matlab de pll
- 2010-06-23 19:43:21下载
- 积分：1
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matlab
matlab例子，对学matlab相当相当相当相当相当有用(matlab example, matlab-school very very very very very useful)
- 2010-05-05 23:46:13下载
- 积分：1
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takikofz
自己写的,有关于在电脑上仿真手机图片的显示效果,希望有所帮助(wrote it myself, on the phone computer simulation results show the pictures, hoping some help)
- 2007-04-08 18:35:38下载
- 积分：1
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eg28-dingdanxuqiuyuce
《MATLAB神经网络30个案例分析》中的第28个例子，案例28 灰色神经网络的预测算法—订单需求预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 28 example, 28 cases of grey neural network prediction algorithm- order demand forecasting. Hope to have certain help to everybody!
)
- 2013-09-20 16:46:33下载
- 积分：1
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TVAL3算法TVAL3_beta2.4
这是TVAL3算法，是基于增广拉格朗日法和交替方向法的全变分最小化算法。这个算法是有关压缩感知的重建算法的例子。TVAL3算法是在最小全变分法的基础上，结合了增强型拉格朗日函数和交替最小化方法。通过交替最小化方法寻找增强型拉格朗日模型的最小值，再由最速下降法进行迭代，更新拉格朗日乘子。
(TVAL3: TV minimization by
Augmented Lagrangian and ALternating direction ALgorithms.This algorithm is an example of a reconstruction algorithm for compressed sensing.
The TVAL3 algorithm is based on the minimum total variation method, which combines the enhanced Lagrange function and the alternating minimization method. The minimum value of the enhanced Lagrange model is sought by the alternate minimization method, and then the iterative method is updated by the steepest descent method.)
- 2021-04-15 16:18:54下载
- 积分：1
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combining-work
removal of powerline interference in ecg
- 2011-02-16 13:26:12下载
- 积分：1
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powclip
COFDM系统在不同调制方式（BPSK/QPSK/16PSK）下的PPCR和BER的比较。不含噪声和多径(COFDM modulation system in different ways (BPSK/QPSK/16PSK) under the PPC R and BER comparison. Without noise and multipath)
- 2007-04-05 17:09:53下载
- 积分：1
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mesh
可以实现彩色图像分割的三维数据网格具有良好的效果(Can realize three dimensional color image data grid
)
- 2014-08-12 08:23:34下载
- 积分：1
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hog-tra
code for hog describtion in matlab
- 2014-10-24 14:46:21下载
- 积分：1
