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RBF
适用于径向基网络初学者,是一个关于逼近hermit函数的源程序(applied to the new learner of RBF)
- 2013-11-30 13:31:57下载
- 积分：1
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Outlook
KALMAN filter for linear time invariant estimation
- 2014-01-14 21:39:44下载
- 积分：1
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finite-element-analysis
用matlab做三角单元的有限元分析，很有用，代替手算，十分方便快捷。(Finite element analysis of triangular element with MATLAB )
- 2015-04-15 13:57:04下载
- 积分：1
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Handwritten-digit-recognition
手写体数字识别matlab程序
含有100个手写字图片(Handwritten digit recognition)
- 2015-04-20 15:29:55下载
- 积分：1
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ertexe
thisisaanother erettt exaple
- 2010-05-18 01:32:43下载
- 积分：1
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Convolution_Linux-a-Unix
The program simulates convolutional code using soft-decoding viterbi algorithm. The choice of generator matrix (G) determines the code rate (1/R) and constraint length of the code (K).
- 2011-02-14 12:48:44下载
- 积分：1
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controladorPDI
Código para simular un controlador PID
- 2013-07-09 09:09:52下载
- 积分：1
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cal
An effieicnt matlab m code for solving the optimun capital allocation in the field of Markowitz portfolio optimization.
- 2012-09-28 20:21:03下载
- 积分：1
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exercise319b
Splice out the voiced plosive “b” in theword “be” and synthesize aword with an increase in the
voice onset time of the “b.” What is the perceptual effect? Is it possible to transform the voiced
plosive “b” to the unvoiced plosive “p” with this change in the voiced onset time? Consider
attributes such as vocal cord vibration and aspiration. (In splicing, display the waveform and
spectrogram of the word “be” and use the MATLAB function ginput.m.) Optional: If your
transformed sound does not sound like a “p” then, again considering vocal cord vibration and
aspiration, make a more accurate transformation.
- 2015-04-17 16:20:54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
