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The experimental results indicate that: 1) usual noise filtering and noise compensation provided very limited robustness to noise corruption, and 2) the proposed technique combinations offered significantly improved noise robustness
The correlation between the multiplicative noise and the additive noise works as a genetic switch and regulates the gene transcription effectively.
Thus, the study showed a real need to use real-time noise reduction methods instead of off-line noise reduction methods that had previously been used.
In this paper, we further verify that noises in degradation rates can indeed induce switching in the genetic toggle switch.
Many noise removal algorithms have parameters which can be adjusted to trade off noise level versus smoothing, so the ideal image for subsequent processing can be interactively selected.
We also indicate why changing the doping and Ge-profiles can lead to a better noise performance.
The results show that the multiplicative noise can induce the switching from “on” → “off” of the protein production, while the additive noise and the correlation between the noise sources can induce the inverse switching “off” → “on”.
Exponential sensitivity limits the robustness of noise-driven switching, suggesting cells may use other mechanisms in order to switch reliably.
It will be shown that this can be attributed to the intrinsic 1/f noise reduction effect due to periodic on-off switching.
In this paper, we demonstrate an active cancellation technique that can dramatically reduce the noise.
We demonstrate that it can be used to significantly reduce intensity noise below its intrinsic limit.
The portable low-frequency noise reduction device we developed in this research can provide an effective way for solving low-frequency noise pollution problem in the small space.
We show that noise cancelling can be improved if the multiple origins of noise are taken into account.
Compared with white noise perturbed systems, we show there also exists optimal colored noise strength to induce the best stochastic switch behaviors in the single toggle switch, and the best synchronized switching in the networked systems, which demonstrate that noise-induced optimal switch behaviors are widely in existence.
Therefore, the power-phase noise trade-off remains effective beyond this point.