Sentence examples for approximated components from inspiring English sources

The coefficients di,j refers to the component attribute in signal p(s) corresponding to the wavelet function, whereas bi,j refer to the approximated components in the signal.

The input data is decomposed into three approximated components of (Dh1, Dh2, and Dh3) with lower accuracy together with a more precise component (Ah) which plays the most important role in prediction process [23].

Then, the Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) models are used to separately recognize and predict the reconstructed detailed and approximate components, respectively.

The input signal is low-pass filtered to give the approximate components and high-pass filtered to give the detail components of the input speech signal.

where, a A 3 is a row vector formed using prediction coefficients obtained from the approximate components A3 at third level and a D j is row vector formed using prediction coefficients obtained from the detail components D j (j = 1,2,3) at j th level.

Therefore, if a subcollection of the triangulation approximated a component of f-1 0) f-1 0andthe sate thee, wasamemmetime, this was symmetricthis determine that it separated S n (or I n ).

In this work, we propose an efficient multi-mesh adaptive finite element method which approximates different components of the solution (velocity, pressure and phase variable) on different h-adaptive meshes because of their strongly different local behaviors.

After that, the approximate component was processed according to the weighted average fusion rule.

After DWT decomposition, the approximate component is directed to DSF followed by method noise thresholding and detailed components are subjected to wavelet thresholding followed by method noise thresholding.

With the help of the method of weak convergence, this difficulty is nevertheless overcome by careful estimates for each approximate component of solutions.

Setting a threshold, if the number of matching point is bigger than the threshold value, end the program and output match result; if the threshold value is bigger, the approximate component of the first layer image is used again to repeat Steps 2 6, then end the program after getting matching result.