Results 11 to 20 of about 1,363,061 (231)
Constant and switched bias low frequency noise in p-MOSFETs with varying gate oxide thickness [PDF]
, 2002 The low-frequency noise power spectral density of MOSFETs is decreased if the MOSFETs are periodically switched 'off' (switched bias conditions). The influence of the gate oxide thickness on fixed bias and switched biased low frequency drain current ...
Knitel, M.J. +3 more
core +2 more sources
Low-frequency noise in nanowires
Nanoscale, 2023 This paper reviews 40 years of research on low-frequency noise and random-telegraph noise in metallic and semiconducting nanowires.
openaire +2 more sources
Low-Frequency Noise Phenomena in Switched MOSFETs [PDF]
, 2007 In small-area MOSFETs widely used in analog and RF circuit design, low-frequency (LF) noise behavior is increasingly dominated by single-electron effects.
Hoekstra, Eric +7 more
core +3 more sources
Low Frequency Noise Annoyance Assesment by Low Frequency Noise Rating (LFNR) Curves
Journal of Environmental Conservation Engineering, 1983 Over recent years, it has become apparent that low frequency noise annoyance is more widespread than originally believed. Annoyance has occurred where the emitted noise is unbalanced towards the low frequencies even though the dB(A) level has been low.
Toshio Watanabe +3 more
openaire +4 more sources
The X-ray fast-time variability of Sco X-2 (GX 349+2) with RXTE [PDF]
, 2001 Sco X-2 (GX 349+2) is a low-mass X-ray binary and Z source. We have analysed 156 ks of Rossi X-ray Timing Explorer data, obtained in 1998 January, on this source. We investigated the fast-time variability as a function of position on the Z track.
Agrawal +59 more
core +2 more sources
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Low frequency cultural noise [PDF]
Geophysical Research Letters, 2009 Abnormal cultural seismic noise is observed in the frequency range of 0.01–0.05 Hz. Cultural noise generated by human activities is generally observed in frequencies above 1 Hz, and is greater in the daytime than at night. The low‐frequency noise presented in this paper exhibits a characteristic amplitude variation and can be easily identified from ...
Chang-Eob Baag +3 more
openaire +2 more sources
Squeezing in the audio gravitational wave detection band [PDF]
, 2004 We demonstrate the generation of broad-band continuous-wave optical squeezing down to 200Hz using a below threshold optical parametric oscillator (OPO). The squeezed state phase was controlled using a noise locking technique.
A. Rüdiger +11 more
core +3 more sources
Low frequency noise and annoyance in classroom [PDF]
Noise Notes, 2000 The most common method for noise assessment is the A-weighted sound pressure level. The question has been raised as to whether the frequency weighting with an A-filter gives a correct result when assessing the annoyance response to noise containing strong low frequency noise (LFN) components.
Kjell Holmberg +2 more
openaire +2 more sources