Results 51 to 60 of about 1,442,765 (346)
Partially Adaptive Multichannel Joint Reduction of Ego-noise and Environmental Noise [PDF]
ICASSP 2023 - 2023 IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP), 2023 Human-robot interaction relies on a noise-robust audio processing module capable of estimating target speech from audio recordings impacted by environmental noise, as well as self-induced noise, so-called ego-noise. While external ambient noise sources vary from environment to environment, ego-noise is mainly caused by the internal motors and joints of
arxiv
Application of Low-Frequency Processing Method Based on VMD Algorithm in Blasting Signal Processing
Shock and Vibration, 2022 In the field of blasting vibration signal analysis, accurate removal of low-frequency noise in the signal has important practical significance. In view of the shortcomings of the existing methods, such as cumbersome calculation and limited scope of ...
Bei Jia +3 more
doaj +1 more source
Low-Frequency Seismic Noise Properties in the Japanese Islands
Entropy, 2021 The records of seismic noise in Japan for the period of 1997–2020, which includes the Tohoku seismic catastrophe on 11 March 2011, are considered. The following properties of noise are analyzed: The wavelet-based Donoho–Johnston index, the singularity ...
Alexey Lyubushin
doaj +1 more source
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 +2 more sources
Coping Strategies for Low Frequency Noise [PDF]
Noise Notes, 2008 A small group (n=9), whose complaints of low frequency noise had not been resolved by Environmental Health Officers and related care professionals, were invited to attend a series of intervention sessions led by a psychotherapist. The aims of the sessions were to improve the participants' coping strategies and their quality of life, in order to ...
Geoff Leventhall +2 more
openaire +1 more source
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
A correlation noise spectrometer for flicker noise measurement in graphene samples [PDF]
, 2019 We present a high-resolution digital correlation spectrum analyzer for the measurement of low frequency resistance fluctuations in graphene samples. The system exploits the cross-correlation method to reject the amplifiers' noise.
Callegaro, Luca +3 more
core +3 more sources
Low-Frequency Noise in Graphene Tunnel Junctions [PDF]
ACS Nano, 2018 Graphene tunnel junctions are a promising experimental platform for single molecule electronics and biosensing. Ultimately their noise properties will play a critical role in developing these applications. Here we report a study of electrical noise in graphene tunnel junctions fabricated through feedback-controlled electroburning.
Puczkarski, P +9 more
openaire +6 more sources
Model Implementation of Lorentzian Spectra for Circuit Noise Simulations in the Frequency Domain
IEEE Journal of the Electron Devices Society, 2022 This work presents a new method for the Verilog-A implementation of Lorentzian noise models, in a module called VERILOR, which can automatically generate either Lorentzian or 1/f-like noise spectra depending on the trap density and gate oxide area, for ...
Angeliki Tataridou +2 more
doaj +1 more source