Sentence examples for using the wavelet domain from inspiring English sources

The system modelling and the circuit implementation of the nonlinear circuits using the wavelet domain techniques has been accomplished in this study.

The proposed technique uses the wavelet domain and an edge enhancement filter to preserve the fine details of the blue whale's dorsal fin image reducing the image size and the processing time of the proposed algorithm [13].

An approach to estimate modal parameters, from only output data in the time domain using the wavelet transform, is presented.

In this paper, we examined these periodicities in time domain by using the wavelet transform.

This method relies on the idea that the energy of the function is often concentrated in a few wavelet coefficients while the energy of the noise is spread over all coefficients, therefore by selecting a suitable threshold value it is possible to reduce a significant amount of noise elements by using nonlinear thresholding in the wavelet domain [13].

Initially, the SPC model is trained in the wavelet domain using the data obtained from the normal operation regions.

Using an ensemble classifier in the wavelet domain, we obtain a sensitivity of 80.8% and specificity of 80%.

Long-term dependencies will be modeled with a hidden Markov model which, in each internal state, will deal with the local dynamics in the wavelet domain, using a hidden Markov tree.

Each image was transformed to the wavelet domain using db8.

In this method, features are extracted from the wavelet domain using Daubechies 4 (db4) wavelet transform.

The combination involves denoising the image by using the SigShrink method in the wavelet domain.