Sentence examples similar to time series echo from inspiring English sources

Experimentally this was confirmed by comparing the normalized standard deviation of time-series echo-planar imaging signals acquired with different slice orientations, in the absence of a functional stimulus.

These sharp echoes appear as spikes in the overall time series of echo power and hence deletion of these points is necessary in order to obtain a correct result.

Each functional time series consisted of gradient-echo echoplanar whole-brain images (repetition time (TR) 2.4 s; echo time (TE) 27 ms; 32 sagital slices, 2×2×2 mm voxels).

The T2 and T2* decay was estimated from a least square fit on a pixel-by-pixel basis using an exponential model of the time series extracted from the multi-echo T2-weighted spin-echo and gradient-echo images, respectively.

We started with a simple parametric approach that relied on the extraction of six statistics [6] from the envelopes of the time series of the fish echoes and the application of discriminant function analysis (DFA) to classify them (see Materials and Methods).

Just to name a few, haemodynamic parameters, ventilatory settings and consecutively retrieved blood samples, are all potential candidates for time series analysis through an echo-state network approach in the ICU.

The fluid component decomposition (FCD) is applied to construct the forward T1 T2 model of the kerogen, and numerical simulations are conducted to investigate factors which may influence inversion results including echo spacing, recovery time series, signal to noise ratio (SNR), and the maximal iteration time.

Till this time, no echo-state network applications in clinical research have been published although echo-state network technology for time series prediction has been studied in a variety of engineering applications such as telecommunication [ 1] and robotics [ 2], as well as in linguistics to detect grammatical structure [ 3].

To address the problems, we propose a deep belief echo-state network (DBEN) for time series prediction.

The fMRI time series data covering the entire brain was acquired using a T2-weighted gradient echo echo-planar imaging (GE-EPI).

Moreover, the echo-state network was more easily configured than other time series modeling technologies.