Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Signal estimation and threshold optimization using an array of bithreshold elements.

Aki-Hiro Sato1, Michihito Ueda, Toyonori Munakata

  • 1Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 28, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses.

IEEE transactions on neural networks and learning systems·2015
Same author

Back-propagation operation for analog neural network hardware with synapse components having hysteresis characteristics.

PloS one·2014
Same author

One-body theory for amplified signal response in a scale-free network.

Physical review. E, Statistical, nonlinear, and soft matter physics·2010
Same author

Stochastic dynamics in systems with unidirectional delay coupling: two-state description.

Physical review. E, Statistical, nonlinear, and soft matter physics·2009
Same author

Stochastic resonance and self-tuning: a simple threshold system.

Physical review. E, Statistical, nonlinear, and soft matter physics·2009
Same author

Linear stochastic system with delay: energy balance and entropy production.

Physical review. E, Statistical, nonlinear, and soft matter physics·2009
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Optimizing signal transmission through noisy devices is crucial. We found the optimal threshold for bithreshold noisy devices is 0.63 times the noise standard deviation, applicable to various input levels.

Area of Science:

  • Information Theory
  • Signal Processing
  • Device Physics

Background:

  • Signal transmission is often impaired by noisy multichannel devices.
  • Optimizing signal integrity in such systems is a significant challenge.
  • Understanding the impact of noise on device performance is essential.

Purpose of the Study:

  • To optimize signal transmission through an array of parallel, convergent bithreshold noisy devices.
  • To derive an analytical approximation for the normalized power norm.
  • To establish the relationship between optimal threshold settings and noise characteristics.

Main Methods:

  • Investigated an array of bithreshold noisy devices connected in parallel.
  • Utilized the concept of noise-induced linearization.

Related Experiment Videos

  • Derived an analytical approximation for the normalized power norm.

    • Main Results:

    • An analytical approximation for the normalized power norm was derived.
    • The relationship between the optimum threshold and the standard deviation of noises was clarified.
    • The optimum threshold was determined to be 0.63 times the standard deviation of the noises.

    Conclusions:

    • The derived relationship provides a method for optimizing signal transmission in bithreshold noisy devices.
    • The findings are applicable to both subthreshold and suprathreshold input signals.
    • Noise-induced linearization is a key concept for understanding device optimization.