Sentence examples for characteristics for feature extraction from inspiring English sources

On the contrary to the coarse selection of the time segment in FBSCP, we propose to take into account fine subject-specific time-frequency characteristics for feature extraction.

The authors used PCA for features generation and independent component analysis for features extraction.

Table 6 Feature dimension and average time for feature extraction Feature characteristics PAR4 Proposed6 Proposed Feature dimension 60759012 12 Average time (ms) 41.70 51.641.70941.702.

The Gabor wavelet is incorporated with scale-invariant feature transformation (SIFT) for feature extraction to better extract the iris features.

The steps for 2D feature extraction are the following.

The first part is pattern analysis for feature extraction where in specific characteristics are obtained from the data with the hope that they will be different for different classes.

For feature extraction, at first, several morphological characteristics, frequency bands, and wavelet coefficients (we call them basic-features) are extracted from each single-trial ERP.

And the variation of origin, radius, degree and other characteristics of hand movements were evaluated by introducing a set of parameters for feature extraction.

Both LPC and MFCC are used for feature extraction.

Forty-four fareors are considered for feature extraction.

We can track the motions of the stylus for feature extraction for each pattern; or we can record positions for feature extraction.