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spider1
spider,很好用的模式识别工具箱,里面有各种分类工具,从有监督学习到无监督学习,从模型选择到参数选择。而且也将各个方法封装成类,使用方便。(spider, good use of pattern recognition toolbox, there are various classification tools, from supervised learning to unsupervised learning, choose Preferences from the model. But also the various methods into a class package, easy to use.)
- 2010-07-27 10:29:26下载
- 积分:1
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poisson
MATLAB下描述随机过程中的泊松过程,精要简单易懂(Poisson process)
- 2013-11-12 17:01:57下载
- 积分:1
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DCT_Compression
Image Compression using DCT
- 2010-06-25 01:33:59下载
- 积分:1
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LBG
training vector quantization LGB
- 2012-01-11 22:19:08下载
- 积分:1
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ber_bpsk_isi_zf_equalization
应用破零均衡器后,误码率与信噪比性能曲线(The application of zero equalizer after the break, the bit error rate and signal-to-noise ratio performance curve)
- 2013-01-17 10:46:24下载
- 积分:1
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nilesh-pra
HI MATLAB CODE FOR RECEIVER DECODE AND TRANSMITTER
- 2013-03-23 15:59:38下载
- 积分:1
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fem1
matlab中PDE工具箱的帮助文件pde.pdf的例子全部用代码实现,花了我一个月的时间,有限元应用程序(matlab in PDE toolbox pde.pdf Help file with examples of all the code, I spent a month s time, the finite element applications)
- 2008-12-22 15:42:30下载
- 积分:1
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TestWelchFM
周期图法在雷达信号处理、目标检测、以及目标跟踪中有重要作用。他的主要特点为从噪声中将所需要的周期信号的特征以功率谱的形式表征出来,通过设置合适的阈值可以代表目标。调频信号则是典型的脉冲压缩信号,其扩频特性使得其不易受噪声干扰。(Periodogram in radar signal processing, target detection, and target tracking plays an important role. His main characteristics will be required from the noise characteristics of periodic signals in the form of the power spectrum characterized it, by setting the appropriate threshold may represent the target. FM signal is a typical pulse compression signal, the spreading characteristics make it less susceptible to noise interference.)
- 2010-12-13 12:05:55下载
- 积分:1
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WATER
基于matlab的小波神经网络算法的水文时间序列预测,基于1步和基于五步预测的程序,由于原始数据偏少,预测精度稍微差点(Hydrologic time series matlab wavelet neural network algorithm based on prediction, based on a step and five-step program to predict, because the raw data too few, almost a little prediction accuracy
)
- 2014-04-04 20:06:39下载
- 积分:1
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matlab
对具有随机噪声的二阶系统的模型辨识,进行标幺化以后系统的参考模型差分方程为
(7.90)
式中, 为随机噪声。由于神经网络的输出最大为1,所以,被辨识的系统应先标幺化,这里标幺化系数为5。利用图7.5正向建模(并联辨识)结构,神经网络选用3-9-9-1型,即输入层i,隐层j包括2级,输出层k的节点个数分别为3、9、9、1个;
(Model identification of two order systems with stochastic noise)
- 2016-07-19 10:39:20下载
- 积分:1