Comparison of Performances of Spectral Based Approaches on Fabric Defect Detection

The Discrete Wavelet transform (DWT) is invoked to extract efficient features of each isolated character which results from the segmentation stage. To the best of our

For the spectral analysis of the EMG signal of the studied muscles, mean values of median frequency (MF) were used, obtained using the short-term fast Fourier transform (ST-FFT)

images showing different size round objects through the modeling of the energy ratio of the image coeffi cients obtained using wavelet transform, more specifically the

No evento de bloom de micro-algas ocorrido no Verão-Outono de 2017, o facto de se observarem boas estimativas da concentração de clorofila a, densidades

We applied the steerable wavelet decomposition algorithm to overcome the limitation of the orthogonal separable wavelet transform and used the normalized convolution

The amplitude of this strain signal contributed to fatigue damage for the coil spring based on the editing process using the Wavelet Transform analysis... analysis was conducted

For this, Wavelet Transform is applied as a method to extract relevant features of signal and KNN is used as a classification technique.. The results showed that

Signal processing methods based on the combined use of the continuous wavelet transform (CWT) and zero-crossing technique were applied to the simultaneous