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On robustness of multi-channel minimum mean-squared error estimators under super-Gaussian priors

Richard C. Hendriks, Richard Heusdens, Jesper Jensen
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/unwafcny5jcv3fzj2xpyyrsmcm" style="color: black;">2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics</a> </i> &nbsp;
Based on histograms of speech DFT coefficients it can be argued that optimal multi-channel minimum mean-squared error (MMSE) estimators should be derived under super-Gaussian speech priors instead.  ...  An often used strategy for multi-microphone noise reduction is to apply the multi-channel Wiener filter, which is often claimed to be mean-squared error optimal.  ...  CONCLUSIONS In this paper we discussed the robustness of multi-channel MMSE estimators under super-Gaussian speech priors with respect to deviations from the ideal steering vector.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/aspaa.2009.5346488">doi:10.1109/aspaa.2009.5346488</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/waspaa/HendriksHJ09.html">dblp:conf/waspaa/HendriksHJ09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/quxgov3o75aivoxi7yxfk57wsa">fatcat:quxgov3o75aivoxi7yxfk57wsa</a> </span>
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Efficient β-order Perceptually Motivated Spectral Amplitude Bayesian Estimator Based On Chi-distribution for Speech Enhancement

Huan Zhao, Yong Yang, Zhiqiang Lu, Fei Yu
<span title="2012-11-01">2012</span> <i title="International Academy Publishing (IAP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3uo3zcmrgvgspdzqe6w6sjoezq" style="color: black;">Journal of Computers</a> </i> &nbsp;
The traditional Bayesian estimator of short-time spectral amplitude is based on the minimization of the squared-error cost function under the common Gaussian probability density function (pdf).  ...  More precisely, we proposed a β -order perceptive Bayesian spectral amplitude estimator which incorporated the assumption of Super-Gaussian chi-distributed spectral amplitude.  ...  Ephraim et al. proposed the minimum mean square estimation (MMSE) short-time spectral amplitude estimation method for speech enhancement by minimizing the Bayesian risk in [2] [3] based on Gaussian distribution  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4304/jcp.7.11.2829-2835">doi:10.4304/jcp.7.11.2829-2835</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ar46sfkqrfhdtn76wpuzmnr5n4">fatcat:ar46sfkqrfhdtn76wpuzmnr5n4</a> </span>
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Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging [article]

Thomas Köhler
<span title="2018-12-21">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Super-resolution is a class of retrospective techniques that aims at high-resolution imagery by means of software.  ...  The optical resolution of a digital camera is one of its most crucial parameters with broad relevance for consumer electronics, surveillance systems, remote sensing, or medical imaging.  ...  k-th frame associated with the i-th observation, and median(•) denotes the sample median as robust estimator of the mean residual error [Zoub 12].  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.09375v1">arXiv:1812.09375v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k6gfmgb4o5cxvmaeoay4zfb5ly">fatcat:k6gfmgb4o5cxvmaeoay4zfb5ly</a> </span>
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Adaptive Beamforming Method for MIMO Antenna Array with Constrained Mean Square Error

<span title="2020-07-30">2020</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
The Mean Square Error (MSE) and Root Mean Square Error (RMSE) with Signal to Noise Ratio (SNR) variation is obtained to evaluate the performance of the proposed implementation.  ...  The Degree of Freedom (DOF) is increased using the adaptive nature of the manifold matrix while maintaining the same number of antennas.  ...  Adaptive Beamforming Method for MIMO Antenna Array with Constrained Mean Square Error Mamatha M.C, H.C. Sateesh Kumar A. Multi kernel The Matrix acts as the overcompletedictionary.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.b3791.079220">doi:10.35940/ijrte.b3791.079220</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xbn6slx7svahxdbiuewjjj2ysa">fatcat:xbn6slx7svahxdbiuewjjj2ysa</a> </span>
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2020 Index IEEE Transactions on Signal Processing Vol. 68

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gkn2pu46ozb4tmkxczacnmtvkq" style="color: black;">IEEE Transactions on Signal Processing</a> </i> &nbsp;
., One-Step Prediction for Discrete Time-Varying Nonlinear Systems With Unknown Inputs and Correlated Noises; TSP  ...  Jin, D., +, TSP 2020 1120-1135 + Check author entry for coauthors The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator.  ...  ., +, TSP 2020 17-32 Performance Analysis of Deficient Length Quaternion Least Mean Square Adaptive Filters.  ... 
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Table of Contents

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/msfmoh6v7bdk7lrsmtbklto74i" style="color: black;">IEEE Signal Processing Letters</a> </i> &nbsp;
Willett 1765 Gradient of Error Probability of M -ary Hypothesis Testing Problems Under Multivariate Gaussian Noise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Varshney 346 Robust Unscented Unbiased Minimum-Variance Estimator for Nonlinear System Dynamic State Estimation With Unknown Inputs .  ...  Frayne 141 Generalized Zero-Shot Learning With Multi-Channel Gaussian Mixture VAE . . . . . . . . . . . . . . . . . . . . . . . J. Shao and X.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/lsp.2020.3040844">doi:10.1109/lsp.2020.3040844</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xpovskhrvfgctk3hhufuvpyyne">fatcat:xpovskhrvfgctk3hhufuvpyyne</a> </span>
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2020 Index IEEE Signal Processing Letters Vol. 27

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/msfmoh6v7bdk7lrsmtbklto74i" style="color: black;">IEEE Signal Processing Letters</a> </i> &nbsp;
Gradient of Error Probability ofM-ary Hypothesis Testing Problems Under Multivariate Gaussian Noise.  ...  ., +, LSP 2020 241-245 Three-Dimensional Rigid Body Localization in the Presence of Clock Offsets. Ke, X., +, LSP 2020 96-100 Mean square error methods Estimation of Linear Space-Invariant Dynamics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/lsp.2021.3055468">doi:10.1109/lsp.2021.3055468</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wfdtkv6fmngihjdqultujzv4by">fatcat:wfdtkv6fmngihjdqultujzv4by</a> </span>
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ToA-based Iterative Localization in Rich Multipath Channels

Mathieu Van Eeckhaute, Thomas Van der Vorst, Francois Quitin, Philippe De Doncker, Francois Horlin
<span title="">2018</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xrpswcj4ovaydhyqwmskur6wvy" style="color: black;">2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)</a> </i> &nbsp;
Simulation results prove that given some prior knowledge on the power delay profile of the channel, the proposed iterative algorithm is robust to harsh propagation environments and performs very close  ...  We recently showed that in a perfect lineof-sight environment, iterating between the conventional delay estimation and multi-lateration steps allows to approach the performance of the direct localization  ...  τ k p(τ k |r k )dτ k (24) and σ 2 τ k |r k = +∞ −∞ (τ k − µ τ k |r k ) 2 p(τ k |r k )dτ k . (25) The mean and variance of the posterior distribution (10) respectively provide the Minimum Mean Square Error  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/pimrc.2018.8580991">doi:10.1109/pimrc.2018.8580991</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/pimrc/EeckhauteVQDH18.html">dblp:conf/pimrc/EeckhauteVQDH18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u5xvsff3zfdgtmrotdo3onw47q">fatcat:u5xvsff3zfdgtmrotdo3onw47q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200505025813/https://dipot.ulb.ac.be/dspace/bitstream/2013/273036/3/1570444319.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/44/c744c47a13dd975f7d7dfc75b272fbea67e36dc0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/pimrc.2018.8580991"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Super-Resolution of Multi-Observed RGB-D Images Based on Nonlocal Regression and Total Variation

Qingzheng Wang, Shuai Li, Hong Qin, Aimin Hao
<span title="">2016</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dhlhr4jqkbcmdbua2ca45o7kru" style="color: black;">IEEE Transactions on Image Processing</a> </i> &nbsp;
To address these challenges, this paper proposes a unified optimization framework to estimate both the superresolved RGB image and the super-resolved depth image from the multi-observed LR RGB-D images  ...  The depth image SR estimate can be obtained by minimizing a nonlocal regression-based energy, which integrates the structural cues of the super-resolved RGB image in a detail-preserving fashion.  ...  Section V-B shows RGB super-resolution evaluations based on comparisons, including 1) the comparison of RGB up-sampling; 2) the robustness evaluation over Gaussian noise case; 3) the visual quality evaluation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tip.2016.2521180">doi:10.1109/tip.2016.2521180</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26812724">pmid:26812724</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xyh7gvcztba2plsn4xjnudofmu">fatcat:xyh7gvcztba2plsn4xjnudofmu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160610095905/http://www3.cs.stonybrook.edu/~qin/research/2016-ieee-tip-rgbd-image-super-resolution.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/07/93/07935435e7ad6c516f2a9d61d6af9c6e7c595f34.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tip.2016.2521180"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Robust super-resolution by fusion of interpolated frames for color and grayscale images

Barry K. Karch, Russell C. Hardie
<span title="2015-04-24">2015</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/im246jdlofanriyhr3bpyw2cwy" style="color: black;">Frontiers in Physics</a> </i> &nbsp;
Multi-frame super-resolution (SR) processing seeks to overcome undersampling issues that can lead to undesirable aliasing artifacts in imaging systems.  ...  Next, FIF uses a novel weighted sum of the interpolated frames to fuse them into an improved resolution estimate. Finally, restoration is applied to improve any degrading camera effects.  ...  The Wiener filter is the minimum mean square error estimator for wide-sense stationary and Gaussian signals and noise [46] . It may not be optimal in other cases.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fphy.2015.00028">doi:10.3389/fphy.2015.00028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/okknnwp5d5f2pcccbl2sqs5sp4">fatcat:okknnwp5d5f2pcccbl2sqs5sp4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150926010710/http://ecommons.udayton.edu/cgi/viewcontent.cgi?article=1055&amp;context=ece_fac_pub" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a0/ee/a0ee3785b0555d4664e40ede034cf2e04958073b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fphy.2015.00028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

Speaker Recognition Using Real vs Synthetic Parallel Data for DNN Channel Compensation

Fred Richardson, Michael Brandstein, Jennifer Melot, Douglas Reynolds
<span title="2016-09-08">2016</span> <i title="ISCA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trpytsxgozamtbp7emuvz2ypra" style="color: black;">Interspeech 2016</a> </i> &nbsp;
The effective use of synthetic multi-channel data for training denoising DNNs has been demonstrated for several speech technologies such as ASR and speaker recognition.  ...  Nearly the same reduction in error rate is realized using room impulse response and noise estimates (RIRs) derived from the Mixer 1 and 2 data and applied to just the telephone channel.  ...  The objective function for the denoising DNN is the minimum mean squared error between the output of the DNN and the target channel's data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2016-544">doi:10.21437/interspeech.2016-544</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/interspeech/RichardsonBMR16.html">dblp:conf/interspeech/RichardsonBMR16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rldt5y6f6fcixarz7bqp6fb3ee">fatcat:rldt5y6f6fcixarz7bqp6fb3ee</a> </span>
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Adaptive Beamforming with a Maximum Negentropy Criterion

Kenichi Kumatani, John McDonough, Dietrich Klakow, Philip N. Garner, Weifeng Li
<span title="">2008</span> <i title="IEEE"> 2008 Hands-Free Speech Communication and Microphone Arrays </i> &nbsp;
We demonstrate the effectiveness of our proposed techniques through a series of far-field automatic speech recognition experiments on the Multi-Channel Wall Street Journal Audio Visual Corpus (MC-WSJ-AV  ...  We consider kurtosis in order to measure the degree of non-Gaussianity.  ...  Republic of Germany under the research training network IRTG 715 "Language Technology and Cognitive Systems", funded by the German Research Foundation (DFG).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/hscma.2008.4538716">doi:10.1109/hscma.2008.4538716</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nsuio4wsj5gxhcv4opqgxuvtxe">fatcat:nsuio4wsj5gxhcv4opqgxuvtxe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705104736/http://www.idiap.ch/ftp/reports/2008/kumatani-idiap-rr-08-29.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/60/20/602076c9791ca368c86c417ae4e7fd33bcae6b3e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/hscma.2008.4538716"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Multiframe demosaicing and super-resolution of color images

S. Farsiu, M. Elad, P. Milanfar
<span title="">2006</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dhlhr4jqkbcmdbua2ca45o7kru" style="color: black;">IEEE Transactions on Image Processing</a> </i> &nbsp;
In this paper, we propose a fast and robust hybrid method of super-resolution and demosaicing, based on a MAP estimation technique by minimizing a multi-term cost function.  ...  The L 1 norm is used for measuring the difference between the projected estimate of the high-resolution image and each low-resolution image, removing outliers in the data and errors due to possibly inaccurate  ...  For the case where the noise V is additive white, zero mean Gaussian, this approach has the interpretation of providing the Maximum Likelihood (ML) estimate of X [9] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tip.2005.860336">doi:10.1109/tip.2005.860336</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/16435545">pmid:16435545</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mkrxbcixpjh2jpmxxgpltibl3a">fatcat:mkrxbcixpjh2jpmxxgpltibl3a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170115194612/http://people.duke.edu/~sf59/TIP_Demos_Final_Color.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6b/69/6b696ed4a33126019e012d47b98185d31f56f5f6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tip.2005.860336"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Survey on Probabilistic Models in Human Perception and Machines

Lux Li, Robert Rehr, Patrick Bruns, Timo Gerkmann, Brigitte Röder
<span title="2020-07-07">2020</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t4zwwbshrrfd3hjbg4s3bysm7q" style="color: black;">Frontiers in Robotics and AI</a> </i> &nbsp;
We focus on audio and audio-visual processing, using examples of speech enhancement, automatic speech recognition, audio-visual cue integration, source separation, and causal inference to illustrate the  ...  basic principles of the probabilistic approach.  ...  The minimum mean square error (MMSE) estimator is the a-posteriori expected value for S (Equation 4) and is equal to the posterior mean (Yuille and Bülthoff, 1996; Maloney, 2002) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/frobt.2020.00085">doi:10.3389/frobt.2020.00085</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33501252">pmid:33501252</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7805657/">pmcid:PMC7805657</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oyuo7rdz4jcntkzt5rvgeu5deu">fatcat:oyuo7rdz4jcntkzt5rvgeu5deu</a> </span>
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2019 Index IEEE Transactions on Signal Processing Vol. 67

<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gkn2pu46ozb4tmkxczacnmtvkq" style="color: black;">IEEE Transactions on Signal Processing</a> </i> &nbsp;
., +, TSP April 1, 2019 1838-1848 Blind source separation A Maximum Likelihood-Based Minimum Mean Square Error Separation and Estimation of Stationary Gaussian Sources From Noisy Mixtures.  ...  ., +, TSP Oct. 1, 2019 5046-5061 Independent component analysis A Maximum Likelihood-Based Minimum Mean Square Error Separation and Estimation of Stationary Gaussian Sources From Noisy Mixtures.  ...  M Machine bearings Quickest Change Detection in the Presence of a Nuisance Change. Lau, T.S., +, TSP Oct. 15  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsp.2020.2968163">doi:10.1109/tsp.2020.2968163</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dvvpqntb2rc2bjed5nnk4xora4">fatcat:dvvpqntb2rc2bjed5nnk4xora4</a> </span>
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