Title :
A system for the implementation of noise added system driving
Author :
Andò, B. ; Baglio, S. ; Graziani, S. ; Pitrone, N.
Author_Institution :
DEES, Catania Univ., Italy
Abstract :
Noise added systems present interesting features in many application fields. A stochastic resonance phenomenon has been introduced as an innovative approach for both understanding the behaviour and improving the performance of this class of system. The main problem in dealing with noise added systems is the identification of the optimal value of the noise variance. The authors have introduced a theoretical law attesting the dependence between the noise variance and some forcing signal parameters. In this paper both numerical and hardware solutions for the implementation of the this law are proposed. These include a virtual instrument and an analog device
Keywords :
circuit resonance; least mean squares methods; measurement errors; parameter estimation; polynomial approximation; quantisation (signal); random noise; stochastic processes; stochastic systems; trigger circuits; virtual instrumentation; Kramers rate; Schmitt trigger; analog device; bistable systems; dithering; forcing signal parameters; hardware solutions; identification; isoamplitude curves; noise added systems; noise modulation; noise variance; numerical solutions; optimal value; parameter estimation; polynomial; stochastic quantizer; stochastic resonance phenomenon; threshold error reduction; virtual instrument; Crops; Fluctuations; Frequency; Genetic expression; Noise level; Polynomials; Potential well; Signal to noise ratio; System performance; Trigger circuits;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.777021
