Sentence examples for data processing filtering from inspiring English sources

Present state uncertainty which is the result from sensor noise, gain and bias, data processing, filtering, and estimation techniques.

They classified uncertainty sources into four main categories: Present state uncertainty which is the result from sensor noise, gain and bias, data processing, filtering, and estimation techniques.

Devices have emerged that can be used for functional requirements in high speed optical data processing, filtering, nonlinear optical functions such as all-optical switching - and many other applications.

These findings were made possible not only by advances in experimental techniques but also because of the development of statistical and computational methods for data processing, filtering, normalisation and visualisation [ 19, 28– 33], and currently there is considerable work on developing new statistical methodologies for analysing this type of data [ 34, 35].

HMMSplicer provides a score for each predicted junction that does not rely on any biological information or assumptions about splicing machinery beyond the user-configurable adjustment to canonical splice sites, leaving the user free to apply the appropriate data processing filters for the experiment.

Carious data processing filters for protein identification were applied to control false-discovery rate at below 5% levels.

The data processing filters (for details see Materials and Methods) did not result in a systematic loss of data points (number of genes with useful ratios) upon increasing temperatures.

Carious data processing filters for protein identification were applied to keep only peptides with the XCorr score above 1.5 for singly charged peptides, 2.5 for doubly charged peptides, and 3.5 for triply charged peptides.

We developed a bioinformatics pipeline that includes automated data retrieval, processing, filtering and analysis of sequence data using available programs in combination with newly developed scripts.

The 3D geological model for Lower Miocene reservoir ILBH5.2 in the north of the GD field shown in this study was built based on data after processing, filtering and selection from an updated study on seismic, geological and core analysis elements, etc., as well as data from exploration and appraisal wells, GD-1X, GD-2X and GD-ST, and production wells, GD-1P and GD-2P.

The transducer comprises of the following features like analog signal conditioning, analog to digital conversion, digital data processing and filtering for analog inputs.