A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Reiterative Robust Adaptive Thresholding for Nonhomogeneity Detection in Non-Gaussian Noise
2008
EURASIP Journal on Advances in Signal Processing
Preserved Fulltext
A robust and data-dependent adaptive thresholding algorithm for nonhomogeneity detection in non-Gaussian interference is addressed. ...
The algorithm is to be used as a preprocessing technique to select a set of homogeneous data from a bulk of nonhomogeneous compound-Gaussian secondary data employed for adaptive radar. ...
ACKNOWLEDGMENTS The authors are grateful to Professor Maria Greco and Professor Fulvio Gini from University of Pisa, Italy, for their helpful comments and for providing the real sea clutter data. ...
doi:10.1155/2008/786136
fatcat:3jpk6pydpzelvjmcyk455vyeb4
Space-time adaptive processing: a knowledge-based perspective for airborne radar
2006
IEEE Signal Processing Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Signal detection using adaptive processing in spatial and temporal domains offers significant benefits in a variety of applications including radar, sonar, satellite communications, and seismic systems ...
., joint adaptive processing in the spatial and temporal domains, creates an ability to suppress interfering signals while simultaneously preserving gain on the ...
His research interests include adaptive and statistical signal processing for radar, STAP, radar interference modeling, image processing, automatic target recognition, and electronic warfare. ...
doi:10.1109/msp.2006.1593337
fatcat:jqx65s5k3zgclbe7ugrwdje2fi
Multichannel adaptive signal detection: Basic theory and literature review
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In this paper we give a tutorial overview of multichannel adaptive signal detection, with emphasis on Gaussian background. ...
We present the main deign criteria for adaptive detectors, investigate the relationship between adaptive detection and filtering-then-CFAR detection, relationship between adaptive detectors and adaptive ...
adaptive detection can be sorted into detection in Gaussian noise and detection in non-Gaussian noise; according to the characters of the test and training data, adaptive detection can be sorted into detection ...
arXiv:2102.03474v1
fatcat:iqj2pbyrhvam3apfsnnecljynq
Parametric Rao Test for Multichannel Adaptive Signal Detection
2007
IEEE Transactions on Aerospace and Electronic Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
The parametric Rao test for a multichannel adaptive signal detection problem is derived by modeling the disturbance signal as a multichannel autoregressive (AR) process. ...
Interestingly, the parametric Rao test takes a form identical to that of the recently introduced parametric adaptive matched filter (PAMF) detector for space-time adaptive processing (STAP) in airborne ...
This also explains why it has been observed in several studies that the PAMF detector obtains good performance even with non-Gaussian observations (see, e.g., [15] ).
V. ...
doi:10.1109/taes.2007.4383583
fatcat:wekmdblw3bfvzncqkjxovmyxdi
Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation
2017
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2017 pre-print arXiv:1701.00804v1 fatcat:nmauvxv4ovg7bapwqsztdqkfqi
To address this issue, we develop an endmember selection method using a recently proposed semantic spectral representation obtained via non-homogeneous hidden Markov chain (NHMC) model for a wavelet transform ...
This paper proposes a new hyperspectral unmixing method for nonlinearly mixed hyperspectral data using a semantic representation in a semi-supervised fashion, assuming the availability of a spectral reference ...
Figueiredo for making their Matlab code for SUnSAL available online, Takahiro Hiroi and the team at Brown University for making the RELAB spectral database online, and the authors of [31] for making ...
doi:10.1109/tgrs.2017.2667226
fatcat:cxsqozatube6rdt7zr654ptmyy
Multiple LREK Active Contours for Knee Meniscus Ultrasound Image Segmentation
2015
IEEE Transactions on Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
It includes using a strategy to adapt the size of a local window in order to avoid being confined locally in a homogeneous region during the segmentation process. ...
In this paper, we present an active contour for image segmentation that uses scalable local regional information on expandable kernel (LREK). ...
In essence, this experiment illustrates that the smallest threshold value enables the adaptation of the size of the kernel in order to detect the nearest boundary. ...
doi:10.1109/tmi.2015.2425144
pmid:25910057
fatcat:w6mdzdfxobgp5pjuyoti75gysu
Automatic Target Recognition in Synthetic Aperture Radar Imagery: A State-of-the-Art Review
2016
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
For each stage in the SAR-ATR processing chain, a taxonomization methodology for surveying the numerous methods published in the open literature is proposed. ...
The purpose of this paper is to survey and assess the state-of-the-art in automatic target recognition for synthetic aperture radar imagery (SAR-ATR). ...
Paris Vachon from Defence R&D Canada (DRDC Ottawa) who provided advice and oversight to the project team for the last five years. ...
doi:10.1109/access.2016.2611492
fatcat:a3rngkwh3ffx3azyzjcivypbei
Nano Superconducting Quantum Interference device: A powerful tool for nanoscale investigations
2016
Physics reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2015 pre-print arXiv:1505.06887v1 fatcat:7t3tetht4rfopb6x4zjh5iorhm
In fact, the sensor noise, expressed in terms of the elementary magnetic moment (spin or Bohr magneton), is linearly dependent on the SQUID loop side length. ...
For this reason, SQUIDs have been progressively miniaturized in order to improve the sensitivity up to few spin per unit of bandwidth. ...
noise) with a zero average
<I(t)> =0 and a Gaussian distribution of the amplitudes. ...
doi:10.1016/j.physrep.2015.12.001
fatcat:tszoa2f7ibhgpfjxfwqoy7vz2y
Ray tracing in a turbulent, shallow‐water channel
1998
Journal of the Acoustical Society of America
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
detection thresholds. ...
The modulation index of the PM was adaptively varied in terms of delta envelope rate to determine the threshold to just detect the PM of the sinusoidal amplitude modulation ͑SAM͒. ...
The Kalman-based algo-rithm can estimate the proper parameter in the additive white Gaussian noise. ...
doi:10.1121/1.422455
fatcat:vqypn7trzberzap3bkznkoddcu
Scattering by two spheres: Theory and experiment
1998
Journal of the Acoustical Society of America
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
detection thresholds. ...
The modulation index of the PM was adaptively varied in terms of delta envelope rate to determine the threshold to just detect the PM of the sinusoidal amplitude modulation ͑SAM͒. ...
The Kalman-based algo-rithm can estimate the proper parameter in the additive white Gaussian noise. ...
doi:10.1121/1.421626
fatcat:qf2u35fztjfgtgredwhbg53zwm
Theoretical and experimental investigation of the insertion loss of a dissipative muffler
1986
Journal of the Acoustical Society of America
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In each case, the time series dominated by local shipping noise tested to be nonlinear and non-Gaussian over both short and long time periods. ...
Detection thresholds were determined for a noise band signal centered at 2500 Hz in the presence of four additional "cue" bands at 1500, 2000, 3000, and 3500 Hz. ...
For this stimulus, substantial amount of adaptation can be demonstrable even in normal ears if threshold is approached from above-threshold stimulus levels. ...
doi:10.1121/1.2024087
fatcat:tcee6inawvhubc6ftuk2ffhyce
High‐intensity, focused ultrasonic fields
1988
Journal of the Acoustical Society of America
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The intensity technique was initially developed for sound power measurements but it can be used as a general tool for sound field investigations. ...
Specific applications in many areas of acoustics will be summarized. ...
[ Lcvitt's 2IFC adaptive procedure is a widely used psychophysical method for estimating detection or discrimination threshold. ...
doi:10.1121/1.2025494
fatcat:yhmkhlqhivbwnp2lxraret33iq
Viscoelasticity Imaging of Biological Tissues and Single Cells Using Shear Wave Propagation
2021
Frontiers in Physics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is text/html.
Shear wave elastography is a non-invasive imaging technology invented for clinical applications that has shown promise to characterize various tissue viscoelasticity. ...
In this review, principles and technical developments of shear wave elastography for viscoelasticity characterization from organ to cellular levels are presented, and different imaging modalities used ...
Consequently, iterative approaches tend to be more robust against noise than direct ones. ...
doi:10.3389/fphy.2021.666192
fatcat:qvn4pciaxbdbfhynp4spzszrii
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensors
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
In this study we put forth a modular approach for distilling hidden flow physics in discrete and sparse observations. ...
Our approach in this study mainly involves gene expression programming (GEP) and sequential threshold ridge regression (STRidge) algorithms. ...
In STLS, hard threshold is performed on least square estimates of regression coefficients and recursively preforming the hard thresholding on remaining non zero coefficients. ...
arXiv:1911.05254v1
fatcat:f2toadwd6zeslah4ll7sfxanmi
Hybrid algorithm for the detection of turbulent flame fronts
2023
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
ABSTRACT: This paper presents a hybrid and unsupervised approach to flame front detection for low signal-to-noise planar laser-induced fluorescence (PLIF) images. ...
The algorithm combines segmentation and edge detection techniques to achieve low-cost and accurate flame front detection in the presence of noise and variability in the flame structure. ...
In these situations, common flame front detection algorithms may reach their limits, which highlights the need for more robust and systematic approaches. ...
doi:10.17863/cam.96571
fatcat:cqt5caialfftbmu6lnuzb5zd34
« Previous
Showing results 1 — 15 out of 40 results