Sentence examples for estimation to detect from inspiring English sources

3) Effects of data length on PSD estimation to detect the forced oscillations.

In a series of papers on sample-size estimation to detect gene-environment interaction, which is a controversial role for sample-size formulas, comparisons have been made between regression based approaches and the stratified analysis approach [ 13, 15].

Duarte et al.[4] propose a matching pursuit based algorithm, called the incoherent detection and estimation algorithm (IDEA), to detect the presence of a signal of interest against a strong interfering signal from noisy projection measurements.

We propose a fuzzy logic-based congestion estimation approach to detect congestion efficiently.

The algorithm supports weighting of data according to confidence, and we show how it may be incorporated into two robust estimation frameworks to detect and reject outlier data.

The contributions of this paper are the following: We propose a fuzzy logic-based congestion estimation approach to detect congestion efficiently.

Confirmatory period estimation seeks to detect the strength of a given (e.g. putatively dominant) periodic component and determine its significance relative to the remaining sequence components (see for example the analysis in Table 1 below).

For burst detection, the authors used Kernel Density Estimation (KDE) techniques to detect review bursts.

The initial MIMO channel estimation was employed to detect the block following the first pilot sequence, using the layered detection scheme.

One of the possible approaches to improve the robustness of the yield estimation would be to detect automatically the number of tomatoes present in an image without necessarily performing the segmentation procedure.

Therefore, it is common to perform batch estimation in order to detect and localise target emitters, exploiting all measurements generated by the sensors within a time window, e.g. [2, 4, 5, 10 13].