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sswm
说明： cox方法展频水印matlab源码，对bitmap图像隐藏信息(frequency watermarking method Show Matlab source of bitmap images for hidden messages)
- 2005-11-18 15:14:48下载
- 积分：1
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dcmodifyfaultongridside
说明： 直流微电网故障仿真模型，还不错，控制模块可以参考下。并网方式可学习。(The fault simulation model of the DC microgrid is not bad, and the control module can be referred to. You can learn how to connect to the network.)
- 2020-04-17 19:05:15下载
- 积分：1
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rfnn
用matlab编写的一个小程序，实现模糊控制。在此基础上可以修改编写自适应模糊控制器。(With a small program written in matlab, fuzzy control. On this basis, the preparation can be modified adaptive fuzzy controller.)
- 2010-09-05 18:16:01下载
- 积分：1
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wiener
语音信号的维纳滤波，频域实现和时域实现方法(Wiener filtering of speech signals, frequency domain implementation and time domain implementation)
- 2017-11-06 20:07:38下载
- 积分：1
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switchingsystem
这是一个切换系统matlab仿真程序，其中含数值例子(The code is implemented according to Algorithm 1 that appeared in:
C.-J. Ong, Z. Wang, and M. Dehghan, Model Predictive Control for
Switching System with Dwell-time Restriction ,)
- 2020-12-14 19:49:14下载
- 积分：1
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TVSBQ
成本低,制作简单的TV视波器，有图，说明。(Low cost, make a simple TV as the wave device, with diagrams, instructions.)
- 2010-02-04 12:29:27下载
- 积分：1
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New-Microsoft-Word-Document
Bit plane slicing using MATLAB
- 2013-12-17 18:47:10下载
- 积分：1
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ofdmcomp
Comparison of bit error rate using OFDM and BPSK
- 2010-10-15 10:23:45下载
- 积分：1
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tensor_toolbox_2.0.tar
张量运算工具箱,zhangliangfenjie(Tensor toolbox,dimensional reduction)
- 2014-12-01 18:23:56下载
- 积分：1
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Improved_SMCPHD
该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布，其意义在于不仅解决重积分计算没有闭式解的难题，而且在滤波过程中，PHD函数被一系列离散的带权值的样本近似，随着样本粒子数量的增加，PHDF接近于Bayes最优估计，而且不受模型线性和高斯假设的限制，可以适用于非线性非高斯的随机系统。(The algorithm the basic idea is to use a set of random sample with the corresponding weight namely particle approximation PHD and base distribution, its significance lies in not only solve the problem of multiple integral calculation without closed solution, and in the process of filtering, PHD function by a series of discrete weighted value of sample approximation, with the increase of sample particles, PHDF close to the Bayes optimal estimation, and is not subject to the assumptions of the linear and gaussian model can be applied to nonlinear non-gaussian stochastic system.)
- 2021-04-29 07:48:43下载
- 积分：1
