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guangyiArnold
对灰度图像采用Arnold混沌加密，实现图像置乱加密(By Arnold on the gray image encryption, encryption of image scrambling)
- 2010-10-15 11:47:05下载
- 积分：1
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all-emd
完备工具包，在原工具包中添加了io.m/extr.m，instfreq.m(Complete toolkit, in the original kit added io.m/extr.m, instfreq.m)
- 2008-06-25 08:23:28下载
- 积分：1
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QAM
4位QAM数字调制解调和16位QAM数字调制解调的matlab实现(4 QAM digital modulation and demodulation, and 16 QAM digital modulation and demodulation matlab realization)
- 2015-03-23 20:41:44下载
- 积分：1
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norm_Optimal-ILC
范数优化迭代学习代码，可以运行，效果非常好(norm-optimal iterative learning control)
- 2020-09-03 15:58:06下载
- 积分：1
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Q-learning
说明： 强化学习Qlearning简单演示。。。。。。(Reinforced learning Qlearning simple demo)
- 2019-03-31 11:21:21下载
- 积分：1
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MMSE
说明： 最小局方误差的语音增强方法，MMSE的最原始应用方法，比较经典的哦入门算法(Minimum error of the Bureau of speech enhancement, MMSE application of the most primitive methods, comparing the classic Introduction to Algorithms oh)
- 2010-04-14 15:20:20下载
- 积分：1
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2dmatlab
matlab 2维牛顿法解方程组 计算方法(matlab 2-dimensional Newton' s method for solving equations calculated)
- 2011-11-14 22:32:25下载
- 积分：1
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ARDUINO-Ndef-dev
NFC NDEF Arduino source and example
- 2013-11-10 09:14:52下载
- 积分：1
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Fenomeno-de-gibbs
Program to calculate the impulse response of ideal filters that illustrate the gibbs fenomenon.designing filters by windowing method and seing impulse and frecuency respons of filters and checking response by incresing the number of elementos fenomenon of gibbs.
- 2013-10-02 05:05:26下载
- 积分：1
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fig3_5
when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high.
However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator.
So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.
- 2013-05-02 02:45:33下载
- 积分：1
