Sentence examples for update estimation from inspiring English sources

Noise estimation based on MMSE supposes that the noisy speech is always in one of the two states, namely speech present (H 1) and speech absent (H 0), and adopts a recursion to estimate noise power rather than update estimation just when the state is H 0 as the VAD-based approach does.

Then, we configurate virtual arrays by sharing snapshots based on the initial AOAs, estimate again with virtual arrays-large number of antennas-in update estimation, and update the location iteratively.

Then, we configurate virtual arrays by sharing snapshots based on initial AOAs, estimate again with virtual arrays-large number of antennas-in update estimation, and update the location iteratively.

In general, particle filter is an iterative algorithm, where each iteration consists of four stages: prediction, update, estimation, and resampling.

This method estimates the source location roughly in initial estimation and updates that iteratively in update estimation.

This method estimates rough source location by initial estimation, share snapshots of coherent subarrays, and iteratively update source location by update estimation.

P i (t|t) Updated estimation error.

Noise estimation based on VAD only updates estimation when speech is absent.

It uses sequentially updated estimation to skew the allocation probability to favor the treatment that has performed better thus far.

The progress of iteration with updated estimation as obtained in the present study is shown in Fig. 9.

The state-of-the-art of trickle-bed fluid dynamics was summarized and a set of unified and updated estimation methods relying on neural network, dimensional analysis and phenomenological hybrid approaches were discussed.