1997
DOI: 10.1103/physrevb.55.7005
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Weakly non-Gaussian processes in a-Si:H conductance noise

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Cited by 21 publications
(4 citation statements)
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“…Therefore, the value of the exponent (1 − β) is a convenient measure of the non-Gaussian character of the noise. S 2 was analyzed by using digital filtering 36,37 in a given frequency range f = (f L , f H ) (usually f H = 2f L ). Some examples of the normalized S 2 (f 2 ), with the Gaussian background subtracted, are presented in Fig.…”
Section: Dependence Of Conductance Noise On Applied Electric Fieldmentioning
confidence: 99%
“…Therefore, the value of the exponent (1 − β) is a convenient measure of the non-Gaussian character of the noise. S 2 was analyzed by using digital filtering 36,37 in a given frequency range f = (f L , f H ) (usually f H = 2f L ). Some examples of the normalized S 2 (f 2 ), with the Gaussian background subtracted, are presented in Fig.…”
Section: Dependence Of Conductance Noise On Applied Electric Fieldmentioning
confidence: 99%
“…44,46,47 The second spectra have been calculated using digital filtering. 48,49 First, the fast Fourier transform (FFT) is applied to the data, which are then digitally bandpass filtered in a given frequency range f = (f L , f H ) with f H = 2f L . This allows the analysis of ∆R(t)/ R in any bandpass.…”
Section: Higher-order Statisticsmentioning
confidence: 99%
“…As is seen, if there were no correlation in the measured signal, 82 would be proportional to square of the first spectrum. It has been shown [13,25,26] that if the second spectrum is flat, i.e., its magnitude does not depend on frequency, the relevant fluctuators are uncorellated as in the case of the droplet excitations. In contrast, 82 α 1/fó with the exponent δ 1 means that noise comes from the pool of wandering events.…”
Section: Resultsmentioning
confidence: 99%