1/ f Noise and Machine Intelligence in a Nonlinear Dopant Atom Network
نویسندگان
چکیده
1/f Noise and Machine Intelligence Intrinsic material properties can be exploited to realise highly efficient unconventional computing. In article number 2000014, Wilfred G. van der Wiel co-workers present the concomitance of noise machine intelligence in a dopant atom network draw analogy with human brain. It is suggested that observed conditions for optimal information processing potentially generalized other complex nonlinear physical systems.
منابع مشابه
"1/f noise" in music: Music from 1/f nOiSe
The spectral density of fluctuations in the audio p wer of many musical selections and of English speech varies approximately s l/f (f is the frequency) down to a frequency of 5X 10 -4 Hz. This resultAmplies that he audio-power fluctuations are correlated over all times in the same manner as "l/f noise" in electronic components. The frequency fluctuations of music also have a 1/f spectral densi...
متن کاملStochastic nonlinear differential equation generating 1/f noise.
Starting from the simple point process model of 1/f noise, we derive a stochastic nonlinear differential equation for the signal exhibiting 1/f noise, in any desirably wide range of frequency. A stochastic differential equation (the general Langevin equation with a multiplicative noise) that gives 1/f noise is derived. The solution of the equation exhibits the power-law distribution. The proces...
متن کاملPulses and 1/f Noise
Low-frequency fluctuations with a 1/f frequency spectrum were first noticed by Johnson [1] in thermionic-emission currents in vacuum tubes, and exist in a very wide range on phenomena. A feature common to most of these phenomena is that they involve a quasirandom sequence of pulses on the microscopic scale. The spectrum of energies associated with a short pulse of characteristic width Δt is rou...
متن کاملA Comparison of Estimators for 1=f Noise a Comparison of Estimators for 1=f Noise
We use a Monte-Carlo approach to investigate the performance of ve diierent time-series estimators of the exponent in 1=f noise. We nd that a maximum-likelihood estimator is markedly superior to Fourier regression methods and Hurst exponent methods. The results indicate that useful estimates of can be made from time series that are much shorter than generally presumed.
متن کاملOn 1/f Noise
Due to the fact that 1/f noise gains the increasing interests in the field of biomedical signal processing and living systems, we present this introductive survey that may suffice to exhibit the elementary and the particularities of 1/f noise in comparison with conventional random functions. Three theorems are given for highlighting the particularities of 1/f noise. The first says that a random...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Small science
سال: 2021
ISSN: ['2688-4046']
DOI: https://doi.org/10.1002/smsc.202170006