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cellauto
这是一个细胞自动机及相应的vote和smooth函数([chaoticrand,chaoticcell,watermark]=cellauto(480,640,1024,5)
参数说明:)
- 2009-05-05 11:24:58下载
- 积分：1
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振动信号进行时域分析time-domain-recognization-method-
对振动信号进行时域分析，得到模态参数的方法。(The vibration signal in time domain analysis, modal parameters.)
- 2014-06-28 01:21:21下载
- 积分：1
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Wavelet-1
小波分析课件－－北京大学
不错的小波分析课件(wavelet analysis ppt--Beijing University)
- 2009-06-06 20:45:23下载
- 积分：1
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matlab
仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)
- 2011-05-21 12:18:13下载
- 积分：1
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ERP1-Protocol-in-Matlab
An Evolutionary Routing Protocol for Dynamic Clustering of Wireless Sensor Networks
- 2014-01-15 21:05:02下载
- 积分：1
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stft
本例介绍了一个利用MATLAB仿真短时傅里叶变换的实例，初学者可以根据此例子来了解短时傅里叶变化的过程，通过仿真图形分析也可理解短时傅里叶变换的含义。(This example describes a short time Fourier transform using MATLAB simulation examples, beginners can understand this example of short-time Fourier transform of the process, through simulation analysis is also understandable graphic short time Fourier transform meaning.)
- 2021-01-14 16:48:47下载
- 积分：1
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demo-example-3
Demo emf source code 3
- 2011-06-04 17:13:30下载
- 积分：1
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cor_dakk
cross correlation of two sequences
- 2013-03-30 23:29:28下载
- 积分：1
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ecai2010-code(1)
Fast Earth Mover s Distance similarity matrix calcutation
- 2013-10-03 10:05:09下载
- 积分：1
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Kalman_Filter
卡尔曼滤波器的操作包括两个阶段:预测与更新。在预测阶段,滤波器使用上一状态的估计,做出对当前状态的估计。在更新阶段,滤波器利用对当前状态的观测值优化。(Kalman filter operation consists of two stages: prediction and update. In the prediction stage, the filter is estimated using the previous state, to make an estimate of the current state. In the update phase, the filter use observations on the current state of the optimization.)
- 2014-01-20 13:12:48下载
- 积分：1
