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In another major category, coarse sensing is based on energy detection, while fine stage on more advanced feature detection techniques.
Mass sensing is based on monitoring the frequency shiftΔω of ω n induced by the adsorption to theresonator.
Actually, in the existing works, block-sparse spectrum sensing is based on ℓ1-norm optimization, spectrum-blind reconstruction and LASSO-CWSS are based on ℓ2-norm optimization, respectively.
Sensing is based on the change in optical signal that accompanies electrochemical modulation of analyte that has partitioned into the film.
The principle of sensing is based on the shift of the resonance wavelength of supercavities when infiltrated by any liquid or gas.
Sensing is based on interaction between the optical micro-resonator and a nano-particle taggant attached to the analyte molecule, which causes scattering between resonator modes and a resultant change in broadband output power.
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This sensing was based on refractive index changes of the solution as the ethanol concentration increased caused changes to the SPR wavelength.
The sensing was based on changes of longitudinal LSPR band induced by specific anti-h-cTnI antibody-h-cTnI binding events.
The cooperative wideband spectrum sensing was based on entropy estimation and exclusion of suspicious CR users using GESD test and sigma limit test.
The dual-excitation ratiometric sensing was based on the distinct spectral properties of the fluorophore in its neutral and deprotonated states.
Chemical sensing was based on changes in the refractive index of the imprinted particles that accompanied swelling due to binding of the targeted analyte, which was detected using surface plasmon resonance (SPR) spectroscopy.
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