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Preprocessing Reference Sensor Pattern Noise via Spectrum Equalization

Xufeng Lin, Chang-Tsun Li
2016 IEEE Transactions on Information Forensics and Security  
Although sensor pattern noise (SPN) has been proven to be an effective means to uniquely identify digital cameras, some non-unique artifacts, shared amongst cameras undergo the same or similar in-camera  ...  Specifically, we equalize the magnitude spectrum of the reference SPN through detecting and suppressing the peaks according to the local characteristics, aiming at removing the interfering periodic artifacts  ...  In this paper, we propose a new preprocessing scheme, namely Spectrum Equalization Algorithm (SEA), for the reference SPN to enhance the performance of SCI.  ... 
doi:10.1109/tifs.2015.2478748 fatcat:pucmdlfxgfffvfm2k6w5imdobm

Sensor noise suppression

Alain de Cheveigné, Jonathan Z. Simon
2008 Journal of Neuroscience Methods  
To reduce noise, each sensor signal is projected on the subspace spanned by its neighbors and replaced by its projection.  ...  We present a method to remove the effects of sensor-specific noise in multiple-channel recordings such as magnetoencephalography (MEG) or electroencephalography (EEG).  ...  The special case of reference sensors For MEG systems equipped with reference sensors, the sensor noise of the reference sensors may determine the ultimate level of the noise floor.  ... 
doi:10.1016/j.jneumeth.2007.09.012 pmid:17963844 pmcid:PMC2253211 fatcat:fgven2nl65axxdwb4fbgb66neq

Avoiding ambiguity in beamspace processing

A.N. Amini, T.T. Georgiou
2005 IEEE Signal Processing Letters  
On the other hand, beamspace preprocessing may introduce ambiguity, i.e., spurious estimated directions.  ...  SUBSPACE METHODS FOR DOA ESTIMATION Consider a ULA that consists of sensors with intersensor spacing . We refer to it as a standard linear array.  ...  This range is referred to as the signal subspace, while its complement is referred to as the noise subspace (see [2, pp. 155-157] ). The signal subspace is fully specified by .  ... 
doi:10.1109/lsp.2005.845596 fatcat:2xxfj7kkdfhpjmfxrz6vhkyck4

Quadratic component analysis

Alain de Cheveigné
2012 NeuroImage  
Each was added equally to all channels via a 1 × 10 random matrix, with an RMS amplitude of 0.0001 times the noise (SNR = 10 − 8 ).  ...  The interference consists of 9 white gaussian noise sources distributed over the sensor channels via a 9 × 10 random matrix, SNR = 10 − 8 .  ... 
doi:10.1016/j.neuroimage.2011.10.084 pmid:22079456 fatcat:r7np4xfldjgsbj7pwh4w3kzgma

Veins projection performance based on ultrasonic distance sensor in various surface objects

I Putu Adi Surya Gunawan, Riyanto Sigit, Agus Indra Gunawan
2020 Indonesian Journal of Electrical Engineering and Computer Science  
Projection shifts that reach more than 0.9 mm occurred due to the sensor readings are on steep curvature or large angles between segments and sensors.  ...  Intravenous therapy aims to inject fluids such as medicine or nutritions into the body via vein vessel. This procedure is needed in various cases whether in an ordinary or emergency.  ...  Therefore, the use of NIR spectrum [13, 14] has important role to obtain the vein pattern.  ... 
doi:10.11591/ijeecs.v17.i3.pp1362-1370 fatcat:3ytxibp2czgtzf2d6eymelpp3m

Partial Discharge Monitoring on Metal-Enclosed Switchgear with Distributed Non-Contact Sensors

Chongxing Zhang, Ming Dong, Ming Ren, Wenguang Huang, Jierui Zhou, Xuze Gao, Ricardo Albarracín
2018 Sensors  
In the proposed system, the TEV signal or status data are wirelessly transmitted to the terminal following low-energy signal preprocessing and acquisition by TEV sensors.  ...  Then, a central server analyzes the correlation of the uploaded data and gives a fault warning level according to the quantity, trend, parallel analysis, and phase resolved partial discharge pattern recognition  ...  Set the reference deviation value ∆m r %.  ... 
doi:10.3390/s18020551 pmid:29439475 pmcid:PMC5855104 fatcat:bguepnidtnck3lh6mjpgrp4fse

Performance improvement for wideband beamforming with white noise reduction based on sparse arrays

Mohammad Reza Anbiyaei, Wei Liu, Des C. McLernon
2017 2017 25th European Signal Processing Conference (EUSIPCO)  
A method is proposed for reducing the effect of white noise in wideband sparse arrays via a combination of a judiciously designed transformation followed by highpass filters.  ...  The reduced noise level leads to a higher signal to noise ratio for the system, which can have a significant effect on the performance of various beamforming methods.  ...  As mentioned before, the noise component at the array sensors is spatially white, therefore, the spectrum of the noise at the output of the row vectors is constant, and covers the entire spectrum.  ... 
doi:10.23919/eusipco.2017.8081647 dblp:conf/eusipco/Anbiyaei0M17 fatcat:3agukq64mjewvbz7n7rgfexwe4

Online Fabric Defect Inspection Using Smart Visual Sensors

Yundong Li, Jingxuan Ai, Changqing Sun
2013 Sensors  
Third, a proper template is chosen in a mathematical morphology filter to remove noise. Fourth, a defect detection algorithm is optimized to meet real-time demands.  ...  Each sensor can scan 800 mm width of web, and can work independently.  ...  Therefore, image preprocessing is necessary before analysis to improve image quality. Raw image is equalized firstly, and then noises are removed by median filter with a 3 × 3 template.  ... 
doi:10.3390/s130404659 pmid:23571669 pmcid:PMC3673105 fatcat:2u5ucxi3ybc6hduewzuptflstq

Broadband Beamspace DOA Estimation: Frequency-Domain and Time-Domain Processing Approaches

Shefeng Yan
2006 EURASIP Journal on Advances in Signal Processing  
Recommended by Peter Handel Frequency-domain and time-domain processing approaches to direction-of-arrival (DOA) estimation for multiple broadband far field signals using beamspace preprocessing structures  ...  of frequency-domain and time-domain beamformers with constant (frequency independent) mainlobe response and controlled sidelobes is designed to cover the spatial sector of interest using optimal array pattern  ...  The delay at the first sensor (the spatial reference point) is 10T s .  ... 
doi:10.1155/2007/16907 fatcat:jzaanfn5dff7pn2avnfccpjf2i

Current source mapping by spontaneous MEG and ECoG in piglets model

Lin Gao, Jue Wang, Julia Stephen, Tongsheng Zhang
2016 Biomedical Signal Processing and Control  
Principal Component (PC) after employing Principal Component Analysis (PCA), thus discarding the first PC before the back projection would enhance the exposure of the information carried by a subset of sensors  ...  It was multiplied by SD after PCA preprocessing. Note that although channel 1 suffered from higher noise, it still captured the same background activity pattern as the other 3 channels.  ...  A common pattern in the background dominated the recordings and was spatially correlated in sensor space.  ... 
doi:10.1016/j.bspc.2015.07.008 pmid:27570537 pmcid:PMC4998190 fatcat:gdokcryixnei3c5kwlvslw3hhe

Multi-sensor Doppler radar for machine tool collision detection

T. J. Wächter, U. Siart, T. F. Eibert, S. Bonerz
2014 Advances in Radio Science  
The recorded signals are preprocessed in order to remove noise and interference from the machinery hall. We conducted and processed system measurements with this prototype.  ...  It combines incoherent information from several spatially distributed Doppler sensors and estimates the distance between an object and the sensors.  ...  Referred to the coordinate system in Fig. 1 the velocitiy components v y and v z of the platform are both equal to zero and the yand z-coordinates remain constant.  ... 
doi:10.5194/ars-12-35-2014 fatcat:eo7mcb2fqrbwna5yxups357qbi

Information-based Preprocessing of PLC Data for Automatic Behavior Modeling [article]

Brandon K. Sai, Jonas Gram, Thomas Bauernhansl
2023 arXiv   pre-print
In this paper, an information-based data preprocessing approach is proposed.  ...  Cyber-physical systems (CPS) offer immense optimization potential for manufacturing processes through the availability of multivariate time series data of actors and sensors.  ...  The dataset was generated with 10% noise. In this context, noise is the presence of acyclic or infrequent activities in the sensor and actor data.  ... 
arXiv:2307.15404v1 fatcat:wf5klmpcjnealom653lu2ajm5e

An Overview of Direction-of-Arrival Estimation Methods Using Adaptive Directional Time-Frequency Distributions

Pranav Kumar Eranti, Buket D. Barkana
2022 Electronics  
Signals were received at each sensor with an SNR value of −5 dB, 0 dB, 5 dB, and 10 dB. The angles of the sources were 15, 30, 45, and 60 degrees.  ...  As expected, the computation time of the algorithms was increased by implementing the ADTFD algorithm as a preprocessing step.  ...  Preprocessing is a critical step to eliminate noise vectors in the covariance matrix.  ... 
doi:10.3390/electronics11091321 fatcat:3i3ud5hsojbghbr7owezncu3ai

RSSI/DoA Based Positioning Systems for Wireless Sensor Network [chapter]

Stefano Maddio, Alessandro Cidronali, Gianfranco Manes
2012 New Approach of Indoor and Outdoor Localization Systems  
The SBA patterns are supposed to be known and the eventually difference between the nominal and the actual pattern can be considered part of the measurement noise -the Degree of Imperfection (DOI).  ...  Figure 13 . 13 The four Music spectrum for the four anchors. Figure 14 . 14 Four 2D Music maps estimate the target DoA referred to the the four anchor nodes.  ... 
doi:10.5772/50380 fatcat:iel2ixgla5bmznrtkn3uvwdb5e

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters

Sven Dähne, Frank C. Meinecke, Stefan Haufe, Johannes Höhne, Michael Tangermann, Klaus-Robert Müller, Vadim V. Nikulin
2014 NeuroImage  
In this task, the SPoC algorithms outperform other commonly used techniques that are based on the sensor data or ICA approaches.  ...  PCA preprocessing.  ...  This similarity was quantified via the absolute value of the spatial correlation between the true and the estimated pattern.  ... 
doi:10.1016/j.neuroimage.2013.07.079 pmid:23954727 fatcat:mdooa756orbqbd2bpg2yhnwwye
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