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Linear prediction (LP) is an ubiquitous analysis
method in speech processing. Various studies have focused on
sparse LP algorithms by introducing sparsity constraints into
the LP framework. Sparse LP has been shown to be effective in
several issu
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This paper describes a novel speech coding concept created by introducing sparsity constraints in a linear prediction scheme both on
the residual and on the prediction vector. The residual is efficiently
encoded using well known multi-pulse excitat
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A two-stage mechanism of ECG classification using Gaussian
mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing tha
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灰色预测模型GM（1,1）简单的利用matlab实现(By changing the boundary conditions of the grey forecasting model of the residual Error cent rank processing, Make the original Synergetic prediction Model precision and prediction accuracy is higher.)
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运用自适应过滤法来对数据进行预测，对于给定阶数的系数，每次预测值与真实值比较，计算残差，直至残差几乎不变化，可以得到比较好的系数，(Using adaptive filtering method to predict data, for a given number of coefficients, each prediction value is compared with the real value, the residual error is calculated until the r
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做单点的灰色预测等功能，可以用于大量的预测工作，自己可以继续改造(Grey model The source code of grey model made by MATLAB can be used for grey prediction and residual correction of single point.)
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基于MATLAB的模型仿真以及设备的剩余寿命预测(MATLAB based model simulation and residual life prediction of equipment)
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基于BP神经网络的锂离子电池剩余使用寿命预测(Residual service life prediction of lithium ion battery based on BPneural network)
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