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ncmmoler
Moler写的配套书中的源程序，讲的是matlab在数值计算中的应用(Moler book written by matching the source, speaking in Matlab is the numerical calculation of)
- 2006-07-07 21:39:12下载
- 积分：1
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Binary-Converter
Decimal to Binary Converter in C#
- 2014-09-12 14:26:29下载
- 积分：1
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bilinerQuard
bilinearquard在matlab中的实现 matlab有限元分析 源程序(bilinearquard implementation in matlab matlab source Finite Element Analysis)
- 2013-11-11 13:46:44下载
- 积分：1
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Relay_Selection
天线选择的参考资料，初学者必备！很有用的哦！(Relay selection of reference materials, beginners must have! Oh, very useful!)
- 2014-09-21 03:35:12下载
- 积分：1
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voicebox
语音分析合成Matlab工具箱，用于语音编码，语音解码，语音DSP数字化处理，LPC，MELP，PCM，CEP...(VOICEBOX is a MATLAB toolbox for speech processing.
Speech synthesis analysis Matlab Toolbox for speech coding, speech decoding, digital voice processing DSP, LPC, MELP, PCM, CEP ...)
- 2013-11-28 17:32:36下载
- 积分：1
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gravity
newmark gravity newton rapton method
- 2013-08-22 10:06:18下载
- 积分：1
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TextField
TextField.getDepth 返回文本域的Depth（深度） TextField.getNewTextFormat 获得最新加入文本的默认文本格式 TextField.removeTextField 删除使用MovieClip.createTextField创建的文本域 TextField.setNewTextFormat 对新加入的文本设定为新格式 (TextField. GetDepth returns the text field the Depth (Depth) TextField. Get the latest to join the text getNewTextFormat TextField. The default text format removeTextField delete using the MovieClip. CreateTextField created text field TextField. SetNewTextFormat for new text set to the new format)
- 2013-12-05 15:42:55下载
- 积分：1
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text2speech20110125
Text to speech code in matlab
- 2015-03-19 22:25:52下载
- 积分：1
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MonteCarlo
monte carlo method implemented on matlab : presentation + demo source code on matlab
- 2014-01-07 06:08:52下载
- 积分：1
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emd综合
说明： 经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)
- 2020-10-22 12:01:28下载
- 积分：1
