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In order to avoid interference to the licensed primary users, efficient spectrum detection methods need to be developed.
Collaborative spectrum sensing is used by Secondary Users (SUs) in Cognitive Radio Networks to improve spectrum detection performance.
The primer pair and the PCR assay provide approach for the broad spectrum detection of several members of the genus Caulimovirus.
Degenerate primers based on these two regions were designed and tested in a polymerase chain reaction-based assay for broad spectrum detection of members of this genus.
The spectrum detection is based on the photon counting method and is realized using micro-channel plate (MCP) detectors with Resistive Anode Encoder (RAE).
The first assay included primers and probes for 'Candidatus Liberibacter asiaticus' (CLas) and Citrus tristeza virus (CTV) broad spectrum detection and genotype differentiation (VT- and T3-like genotypes).
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In our spectrum sensing detection problem, there are unknown parameters under both hypotheses that prevent us from adopting the well-known Neyman-Pearson detector.
The higher-order statistics-based spectrum sensing detection in[14] can effectively separate noise from received signals even at very low SNR regime.
Our main contributions in spectrum detections may lie in that, for the first time, we model the working states of PU as a binary sequence characterized by finite state machine.
Three main strategies do exist in order to perform spectrum sensing: transmitter detection (involving PU detection techniques), cooperative detection (involving centralized and distributed schemes) and interference based detection.
For these spectra, detection of a unique bonding site is estimated at about 10 15 atom% of the total element signal.
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