Sentence examples for prediction lags from inspiring English sources

Note that the prediction lags one sample behind its input as expected.

If the prediction lags between previous and current subframe are same, and the filter order is one, previous residual and current residual are expressed as (7).

The MPEG-4 AAC-LTP exploited a similar concept, but its improvement was not significant because of small prediction gain due to long prediction lags and aliased components caused by the transformation with a time-domain aliasing cancelation (TDAC) technique.

where is the length of frame, is a prediction coefficient, is a prediction lag, is the previously synthesized signal, and is the aliased signal between and as shown in Figure 2. Please note that the predicted samples should be always taken from a delay of at least samples, and this filter has to employ the aliased part.

The current analysis frame of length L is predicted by a lagged analysis frame of the same length such that (7) s ^ (k ) = β s (k − T ), where s(k) is the current target speech sample, T is the prediction lag with − Tmax⁡ ≤ T ≤ − Tmin⁡ and Tmin⁡ ≤ T ≤ Tmax⁡, and β is the long-term prediction coefficient.

Nonetheless, the performance of small complex prediction still lags behind that of predicting large complexes, especially for human complexes.

Open image in new window Fig. 2 Architecture and learning scheme of classic RBF neural network for time series prediction with lagged error term (e_{t-1} ) feedback.

All in all it strengthened roughly 2% against the euro and 1.5% against the dollar, recovering much of its pre-election weakening.Broadcasters' predictions typically lag traders' models because they need to be more cautious.

Today, however, Mr. Pataki acknowledged after a news conference with Mayor Michael R. Bloomberg that recent predictions of lagging incomes in the financial services industry, which generates about a quarter of state income tax revenues, did not bode well for the state.

This finding can lead to refinements of modeling for better predictions of lag phase duration.

However, the diffusion gap (DG) model makes very specific predictions about lag and overshoot that are not borne out by observations.