Results 11 to 20 of about 10,344,236 (307)

Parameter Space Noise for Exploration

open access: yesCoRR, 2017
Updated to camera-ready ICLR ...
Matthias Plappert   +8 more
openaire   +3 more sources

Electromyography Parameter Variations with Electrocardiography Noise

open access: yesSensors, 2022
Electromyograms (EMG signals) may be contaminated by electrocardiographic (ECG) signals that cannot be easily separated with traditional filters, because both signals have some overlapping spectral components. Therefore, the first challenge encountered in signal processing is to extract the ECG noise from the EMG signal.
Kang-Ming Chang, Peng-Ta Liu, Ta-Sen Wei
openaire   +3 more sources

Energy Estimation of Partial Discharge Pulse Signals Based on Noise Parameters

open access: yesIEEE Access, 2016
Partial discharge (PD) detection has been proved as an effective tool for insulation condition monitoring of power equipment. The energy of PD pulses is valuable for studying the characteristics of PD activities.
Xiaoxin Chen   +4 more
semanticscholar   +1 more source

The Effect of Noise on Camera Calibration Parameters

open access: yesGraphical Models, 2001
Summary: Camera calibration is the estimation of parameters (both intrinsic and extrinsic) associated with a camera being used for imaging. Given the world coordinates of a number of precisely placed points in a 3D space, camera calibration requires the measurement of the 2D projection of those scene points on the image plane.
Sunil Kumar Kopparapu, Peter I. Corke
openaire   +1 more source

Evaluation of Information Indicators of Quantization Noise Generated by Speech Signal Analogue-Digital Conversion

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 2023
The paper presents a technique for estimating the information parameters of the quantization noise generated by the analog-to-digital conversion of the measuring signal. An experiment and algorithm descriptions are presented to confirm the correctness of
V. K. Zheleznyak   +2 more
doaj   +1 more source

Millimeter-wave noise modeling of nanoscale MOSFETs

open access: yesDianzi Jishu Yingyong, 2018
Based on the physical structure of 40 nm MOSFETs, this paper establishes a unified MOSFET millimeter-wave noise model to characterize the characteristics of drain-current noise, inducted gate-current noise and cross-correlation noise between them.
Peng Xiaomei, Zhao Aifeng, Wang Jun
doaj   +1 more source

A novel approach for noise prediction using Neural network trained with an efficient optimization technique

open access: yesInternational Journal for Simulation and Multidisciplinary Design Optimization, 2023
Aerofoil noise as self-noise is detrimental to system performance, in this paper NACA 0012 optimization parameters are presented for reduction in noise.
Radha Krishnan Naren Shankar   +1 more
doaj   +1 more source

Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters

open access: yesat - Automatisierungstechnik, 2013
Knowledge of the noise distribution is typically crucial for the state estimation of general state-space models. However, properties of the noise process are often unknown in the majority of practical applications.
Emre Özkan   +4 more
semanticscholar   +1 more source

Influence of Noise on Scattering-Parameter Measurements

open access: yesIEEE Transactions on Microwave Theory and Techniques, 2020
We present a general model of noisy scattering-parameter (S-parameter) measurements performed by a vector network analyzer (VNA). The residual error of the S-parameter due to the noise is examined to appear like a complex Gaussian quotient. The statistical analysis of the residual error is given, and relevant statistical quantities are derived and ...
Dazhen Gu   +3 more
openaire   +4 more sources

Probabilistic End-To-End Noise Correction for Learning With Noisy Labels [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
Deep learning has achieved excellent performance in various computer vision tasks, but requires a lot of training examples with clean labels. It is easy to collect a dataset with noisy labels, but such noise makes networks overfit seriously and ...
Kun Yi, Jianxin Wu
semanticscholar   +1 more source

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