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matlabVoice
語音信號是基於時間軸上的一維數位信號，在這裏主要是對語音信號進行頻域上的分析。在信號分析中，頻域往往包含了更多的資訊。對於頻域來說，大概有8種波形可以讓我們分析：矩形方波，鋸齒波，梯形波，臨界阻尼指數脈衝波形，三角波，餘旋波，余旋平方波，高斯波。對於各種波形，我們都可以用一種方法來分析，就是傅立葉變換：將時域的波形轉化到頻域來分析。(Voice signal is based on the timeline of one-dimensional digital signal, where mainly the speech signal in frequency domain analysis. In signal analysis, frequency domain often contains more information. For the frequency domain for about 8 allows us to analyze waveforms: rectangular square wave, sawtooth, trapezoidal wave, the critical damping index pulse, triangle wave, I spin wave, I spin square wave, Gaussian. For all waveforms, we can analyze in a way that is Fourier transform: the transformation of time domain waveform into the frequency domain to analyze)
- 2010-08-23 12:32:06下载
- 积分：1
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correct
When using objectness in your application, it is important to take into account the score of a window returned by this software
- 2013-07-25 20:29:51下载
- 积分：1
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sorting
说明： 用三层感知器实现数据分类。该感知器无反馈，使用2-2-1结构(Sensor data with a three-tier classification. The sensor without feedback, using the 2-2-1 structure)
- 2011-04-06 21:49:33下载
- 积分：1
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top4inveter
此程序是柔顺机构的拓扑优化，以柔度最小为目标函数，以体积分数为约束条件(matlab code for compliant mechanism )
- 2014-11-25 16:22:42下载
- 积分：1
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word_find
英文词频统计，单复数算一个单词，大小写算一个单词(word frequency find)
- 2014-11-29 15:33:34下载
- 积分：1
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OS-ELM
是一种在线序列OS-ELM算法的MATLAB程序，可参考论文A Fast and Accurate Online Sequential Learning。(matlab codes for OS-ELM(Online Sequential ELM))
- 2017-08-15 11:12:07下载
- 积分：1
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bemd
本程序主要通过二维经验模态分解计算二维信号的IMF，使用筛选的过程。它依赖于函数SIFT。(BEMD This program calculates the Bidimensional EMD of a 2-d signal using the process of sifting. It is dependent on the function SIFT.)
- 2018-05-21 21:36:39下载
- 积分：1
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Harry
针对IEEE模型的潮流计算(4节点、14节点、30节点、1047节点(Against the tide of the IEEE model calculation (4 nodes nodes, 14 nodes, 30, 1047
)
- 2021-04-06 09:39:02下载
- 积分：1
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modelbasedonspectrumprediction
文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based
on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem.
Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors.
The models are used to design first, second etc. order predictors.
The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The
best prediction scheme obtains an average spectral distortion that
is 0.46 dB less than for the reference method. )
- 2010-07-06 16:48:31下载
- 积分：1
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Matlab_sample
主要介绍matlab程序下动态数据的采集(Matlab program introduced under the dynamic data collection)
- 2013-09-22 18:23:05下载
- 积分：1
