메뉴 건너뛰기




Volumn 63, Issue 4, 2001, Pages

Noninvasive control of stochastic resonance

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA ACQUISITION; FAST FOURIER TRANSFORMS; OSCILLATORS (ELECTRONIC); RANDOM PROCESSES; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE;

EID: 0035304907     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.63.041107     Document Type: Article
Times cited : (54)

References (22)
  • 15
    • 5544221875 scopus 로고
    • For response measures suitable for more general, nonmonochromatic inputs, consult, e.g., J. J. Collins, C. C. Chow, and T. T. Imhoff, Phys. Rev. E 52, R3321 (1995);
    • (1995) Phys. Rev. E , vol.52 , pp. R3321
    • Collins, J.J.1    Chow, C.C.2    Imhoff, T.T.3
  • 21
    • 85035261568 scopus 로고    scopus 로고
    • Since the canonical algorithm for computing the SNR defined above assumes a solitary frequency spike at the signal frequency superimposed on a smooth background, it can fail here dramatically. Although the eye may be able to pick out the small signal spike riding atop the peaks and valleys, it is difficult to fully automate this discrimination, especially in situations where the signal spike is very near a valley or peak. Fortunately, in this system, for small signal amplitudes, the only change in the spectrum due to the addition of a weak signal is a small spike at the signal frequency. Consequently, we estimate the background spectrum as (Formula presented) in computing the SNR
    • Since the canonical algorithm for computing the SNR defined above assumes a solitary frequency spike at the signal frequency superimposed on a smooth background, it can fail here dramatically. Although the eye may be able to pick out the small signal spike riding atop the peaks and valleys, it is difficult to fully automate this discrimination, especially in situations where the signal spike is very near a valley or peak. Fortunately, in this system, for small signal amplitudes, the only change in the spectrum due to the addition of a weak signal is a small spike at the signal frequency. Consequently, we estimate the background spectrum as (Formula presented) in computing the SNR.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.