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wavelet-analysis
matlab 小波分析第二版源代码，机械工业出版社。(Wavelet analysis matlab second version of the source code, mechanical industry press.
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- 2014-12-09 10:24:58下载
- 积分：1
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image
image proccesing improved digital image by frequency filter
- 2014-11-13 18:27:36下载
- 积分：1
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ex_circlepoint2
批量处理灰度图像，并能够识别图像质量中心进行截圆处理，同时生成灰度直方图以及各个点的坐标文件(Batch processing grayscale images, the image quality and the ability to identify the center circle cut deal, while generating histogram and the coordinates of each point file)
- 2013-12-12 20:37:30下载
- 积分：1
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matlabstudy
matlab学习教程,很实用很好学哦，强力推荐(a study course about Matlab )
- 2010-10-11 19:39:47下载
- 积分：1
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RLS_Voice
在matlab环境下的有关RLS算法,多麦克风语音降噪(In the matlab environment of the RLS algorithm, multi-microphone noise reduction Voice)
- 2008-03-26 22:01:16下载
- 积分：1
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bpfunction
BP神经网络函数拟合源程序,可实现BP网络的算法拟合(BP neural network fitting function source code, can achieve the fitting algorithm of BP network)
- 2014-09-04 09:03:21下载
- 积分：1
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M=8
m=8时双极性八电平可调 信噪比 差错估计(m = 8 时 bipolar eight-level adjustable noise ratio error estimated)
- 2010-12-07 20:31:16下载
- 积分：1
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EnergyNormalizationCepSpec
Speech Recognition - Numbers 1 to 5
Energy normalization and time alignment
References:
[1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993.
％ [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987.
％ [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech(Speech Recognition-Numbers 1 to 5 Energy n ormalization and time alignment References : [1] L. Paras and B. H. Juang, Fundamentals of Speech Recognition. Prentice-Hall, 1993. % [2] P. E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J. D. Markel and A. H. Gray, Linear Prediction of Speech)
- 2007-06-05 00:33:46下载
- 积分：1
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segyoutput
Writes seismic data from Matlab workspace to a segy format file on disk.
- 2011-10-23 19:07:05下载
- 积分：1
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Shenjinwangluo
（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。
（2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。
((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)
- 2020-11-02 09:59:53下载
- 积分：1
