A neuro-fuzzy approach for noise tuning in bistable measuring devices

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn 2, Issue , 2001, Pages 879-882

  Ando B ^a   Graziani, S ^a   Pitrone, N ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

Noise added systems; Optimal noise level tuning; Threshold error

Indexed keywords

FUZZY CONTROL; NEURAL NETWORKS; NONLINEAR SYSTEMS; OPTIMIZATION; POLYNOMIALS; SPURIOUS SIGNAL NOISE; SYSTEMS ANALYSIS; TRIGGER CIRCUITS;

BISTABLE MEASURING DEVICES; NOISE ADDED SYSTEMS; NOISE TUNING LAW; THRESHOLD ERROR;

TUNING;

EID: 0034820428     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Characterisation of threshold error via stochastic resonance
2. Virtual instruments with low threshold error based on stochastic resonance theory
3. A probabilistic approach to the threshold error reduction theory in bistable measurement devices
4. Threshold error reduction in linear measurement devices by adding noise signal
5. Optimal improvement in bistable measurement device performance via stochastic resonance
6. The mechanism of stochastic resonance
7. Effect of additive dither on the resolution of ideal quantizers
8. Noise tuing in stochastic system
9. Measurements of parameters influencing the optimal noise level in stochastic systems