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The subspace optimization approaches only optimize the signal or noise subspace without using the eigenvalue decomposition (EVD) so that they can reduce the computational complexity and storage requirements.
A method based on the use of the genetic algorithm is proposed to optimize the signal and to reduce this ghost effect.
To optimize the signal output, gene deletions were performed on the negative regulator of Gpa1 activity (sst2Δ) and a cyclin-dependent kinase inhibitor (far1Δ).
Nevertheless, anticipatory control inherently aims to optimize the signal control that anticipates or reacts to the users' route choice and thus is a reactive control.
These systems use optical signaling methods to reveal the binding event, taking advantage of molecular biological techniques to optimize the signal.
This chapter focuses on molecules, produced through genetic engineering, that combine the recognition element with a signaling element (such as a fluorophore) in an effort to optimize the signal caused by the binding of the analyte to the recognition element.
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For detection, the PSF reconstruction parameters should optimize the signal-to-background ratio while also accounting for image noise, which was not studied here.
Some sequence design techniques have been presented to optimize the signal-to-interference-plus-noise-ratio (SINR) in the presence of colored interference.
In order to determine the best conditions for live PALM imaging, we adjusted the image acquisition time to optimize the signal-to-noise-ratio (SNR) of the individual fluorophores.
Fat saturation was used to optimize the signal-to-noise ratio and baseline values.
Some participants used different gate settings between donors in order to optimize the signal-to-background ratio.
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