Energy-detection-based spectrum sensing is characterized by low implementation and computational complexity, as well as high detection speed and independence from the detected signal, i.e., it does not require prior knowledge of the PU signal.
Secondly, we design a new cascaded structure which is compatible with both high detection speed and high classification performance.
Because of the multi-coil arrangement, the arrayed probe has a high detection speed around the whole tube, without the need for rotation.
Using single photon detection technique and specific signal processing algorithms for collected data, the proposed system allows to achieve unique combination of characteristics—high sensitivity, high detection speed and wide linearity dynamic range comparing to existing commercial instruments.
In the proposed cascade structure, the earlier several stages are based on the more efficient un-occluded features to assure a high detection speed, while the later stages are based on both the un-occluded features and the reconstructed occluded features for better classification performance.
The advantage of those methods is the high detection speed as they are not containing time-consuming operations, but they cannot handle documents well with very complex layouts.
In order to maintain power system stability, modern transmission networks demand a high fault detection speed.
Given its fast detection speed and high accuracy, the proposed reader combined with quantum dots-labeled test strips is suitable for POCTs and owns great potential in applications such as screening patients with infection of helicobacter pylori, etc. in near future.
In normal mode (default), the prior ORF selection according to a machine learning model for codon frequencies (Hoff et al., 2008) further increases the detection speed, because only high scoring ORFs are compared with the protein database.
