Sentence examples for coefficients features from inspiring English sources

Thus, 16 sets of coefficients features are further fused with GND-ICA by arranging them as a two-way tensor; in this technique, the factor inherent in the element of feature vectors and the factor among different features are considered.

Integration of the automatic on-line acoustic segmentation system into a continuous speech recognition system based on MFCC (mel-frequency cepstral coefficients) features requires only a small additional computational cost because many of the proposed systemʼs feature calculation procedures are common to the MFCC features calculation procedure.

The average number of regression coefficients (features) found significant over 500 training/testing iterations ranged from five to ten, depending on the drug regimens presented in Table 1.

Based on these scalar coefficients, feature selection strategy is proposed on the transformed feature domain.

DLC films are known not only for their hardness but also for their low friction coefficient, features that improve the wear resistance of steel components.

MFCC, perceptual linear prediction (PLP) and GFCC are the standard 39-dimensional Mel-frequency, perceptual linear prediction and gammafrequency cepstral coefficient features along with their delta and acceleration derivatives.

Figure 9 shows that 23 channels (which all include the power spectrum characteristic and wavelet feature) are selected by feature fusion, 13 channels include the time-domain statistic, and 11 channels contain the AR coefficient features.

The high-dimensional fused features are firstly obtained, which include the power spectrum, time-domain statistics, AR model, and the wavelet coefficient features extracted from the preprocessed EEG signals.

For dataset A, the method proposed in this paper can be compared to a type of feature extraction method and feature fusion method, respectively, with results shown in Table 2. From Table 2 it can be observed that, compared with the AR coefficient and wavelet coefficient features, the feature fusion obtains a lower error rate for simultaneous channel and feature selection.

We use 20 coefficient feature vectors in all our experiments to keep a fair comparison.

Chen et al. [13] compared the SVM-based method with multilayer perceptrons (MLP) based on text verification over four independent features, namely, the distance map feature, the gray-scale spatial derivative feature, the constant gradient variance feature and the DCT coefficient feature.