Sentence examples for identifying the modulation from inspiring English sources

Also in [24], Su et al. described a likelihood test-based modulation classification method for identifying the modulation scheme of SDR in real-time without pilot transmission.

Modulation classifiers taking into account the statistical parameters of the signal in the wavelet domain are used as features for identifying the modulation schemes, in this case specifically for the DVB-T broadcast standard.

These images can then be used as spectral fingerprints to identify the modulation scheme of the received signal.

In[9], high-order statistics and neural networks were employed to identify the modulation type of MIMO system with and without channel state information.

To enhance ANN classification accuracy, ANN is usually combined with the extracted features from the received signal, which allows the engine to have the capability to identify the modulation scheme at low SNR levels.

These observations identify the modulation of an ARF6-dependent PLD1 activity as an additional mechanism through which RalA can control insulin exocytosis.

The unbiased proteomic screening of proteins regulated by the learning-related neurotransmitter serotonin in the abdominal ganglia of Aplysia which mediates the gill- and siphon-withdrawal reflex (17)—identified the modulation of expressional levels of 21 individual proteins.

For tsRNALeu we only could identify the modulation of 3 transcripts when using a fold change ≥ 3. Further analysis of individual transcripts modified by these tsRNAs revealed that only some of them were also affected by incubation with EVs at any time regardless of their fold change.

Another important aspect which may help the biomedical engineers to develop more biocompatible geometries for applications as implants is identifying the transition step in the modulation of cell characteristics and behavior.

The custom oligo-array was used to identify the modulations of the P. parasitica transcriptome during the onset of a compatible interaction.

These findings point to the value of understanding the whole signalling network, to identify the modulations that are likely to provide the maximum benefit to specific aspects of aging-related decline.