Related Experiment Video
Updated: Aug 12, 2026

15:04
Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
Published on: May 18, 2011
Information gain in an optical bistable system by stochastic resonance
M Misono1, T Kohmoto, M Kunitomo
1Faculty of Science, Kobe University, Nada, Japan.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 26, 2005
Summary
Stochastic resonance in optical bistable systems amplifies hidden information. Optimal noise levels and cutoff frequencies reveal signal details in nonlinear optical systems.
Area of Science:
- Nonlinear Optics
- Quantum Information Science
- Signal Processing
Background:
- Optical bistable systems exhibit complex nonlinear dynamics.
- Stochastic resonance is a phenomenon where noise enhances signal detection.
- Information theory quantifies data transmission and processing.
Purpose of the Study:
- To experimentally demonstrate information gain via stochastic resonance.
- To investigate the role of noise amplitude and frequency in information retrieval.
- To analyze the performance of a hybrid optical bistable system.
Main Methods:
- Utilized a hybrid optical bistable system with a LiNbO3 crystal and feedback loop.
- Input signal comprised a binary bit series and Gaussian colored noise.
- Analyzed information gain by varying noise parameters and bit rates.
Main Results:
- Information gain was observed due to stochastic resonance.
- Enhanced information retrieval occurred with adequate input noise amplitude.
- Prominent information gain was achieved when noise cutoff frequency exceeded the bit rate.
Conclusions:
- Stochastic resonance effectively reveals hidden information in optical bistable systems.
- Noise characteristics critically influence information retrieval in nonlinear systems.
- The hybrid LiNbO3 system demonstrates potential for noise-assisted information processing.
Related Concept Videos
BIBO stability of continuous and discrete -time systems
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
Effects of feedback
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...

