Sentence examples for vector time from inspiring English sources

A novel feature set composed of spectral band energies augmented by their vector time derivatives and time-domain averaged zero crossing rate is proposed.

Using simulated data to examine algorithm performance under different conditions, we created a vector time series corresponding to points on a discretized one-dimensional space consisting of (M = 256) space points whose activity evolves in over a period of (T = 500) points each.

When analysing electronic diary data, we are concerned with several vector time series, one for each subject included in the study.

In general, let X1,…, X p be p stochastic processes and denote by X the rearrangement of these stochastic processes into a vector time series, i.e. X t = (X1 t,…, X p t )⊤.

For the investigation of the dynamics common to all subjects, we model these vector time series jointly by one common VAR(1) process assuming that there are no dependences between subjects.

This leads to the following definition of Granger-causality: For two time series X and Y let Z be the (vector) time series that comprises all variables that might affect the dependence between X and Y.

First, segments are composed of the feature vector time-sequence data.

In (Chen, L., 2005. Vector time-varying autoregressive (TVAR) models and their application to downburst wind speeds.

The reference data are composed of feature vector time-sequence data that are obtained from spoken keywords.

This paper presents a method for extraction of real modal parameters for identification of time-varying systems using adaptable functional series vector time-dependent autoregressive (AFS-VTAR) model.

The process of Segmental CDP is explained along with Figure 2. The horizontal axis represents an input of a feature vector time-sequence dataset.