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Feature extraction is a key issue in contentbased
image retrieval (CBIR). In the past, a number of
texture features have been proposed in literature,
including statistic methods and spectral methods.
However, most of them are not able to accu
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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. Spec
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从介绍功率谱的估计原理入手分析了经典谱估计和现代谱估计两类估计方法的原理、各自特点及在Matlab 中的实现方法-Start from the introduced power spectrum estimation principle to the principle of classical spectral estimation and spectral estimation are two types of estimation methods, their characteristic
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Spectral Methods in MATLAB - Lloyd N. Trefethen
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This MATLAB exercise computes the log magnitude of the STFT of a specified frame of speech. Then, using the
same frame of speech, the exercise computes LPC log spectral matches to the speech frame, using the autocorrelation
method, the covariance
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