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OFDM and FBMC signals detection utilizing CSs by nonconjugate operation are already investigated in [10, 14], respectively.
Additionally, due to the improved accuracy of dual signals detection, the exact diagnoses of serum samples were gotten by operating resulting dual signals with AND logic system.
In this paper an all-optical method for infrared (IR) and terahertz (TH) signals detection in quantum dot nanostructure is proposed.
With the help of the mature LPTV theory, herein we derive the explicit formulas for nonconjugate and conjugate cyclic autocorrelation function and spectral correlation function of OFDM and FBMC signals, which are very useful for blind MCM signals detection and classification.
To give confidence to diagnostic calls, a statistical method of determining the presence of a given pathogen was developed, in which target e-probe signals (detection signal) are compared to signals generated by a decoy set of e-probes (background signal).
Since immunohistochemistry and immunofluorescence staining resulted in comparable signals, we used the latter to enable multiple signals detection.
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Finally, the network signal is detected by the signal detection of the mobile crowd network.
It is detected through spectrum sensing and signal detection techniques.
In the world of signal detection, noise is traditionally viewed as a prime nuisance.
prior to the signal detection.
Signal detection theory has been applied to change detection.
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