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An improved estimator of Variance Explained in the presence of noise
2008
Advances in Neural Information Processing Systems
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in estimating the true underlying Variance Explained by the model class. ...
One of the most widely-used metrics yields the percentage of the variance in the data that is explained by the model. ...
estimation, and 3) including a conditioning term to improve the performance in the presence of excessive noise. ...
pmid:25302011
pmcid:PMC4188445
fatcat:hnevgzdmi5c4lisdllb6sdtezm
Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
2008
IEEE Transactions on Audio, Speech, and Language Processing
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In each time frame, for each frequency bin, the noise variance estimate is updated recursively with the minimum mean-square error (mmse) estimate of the current noise power. ...
This paper considers estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. ...
ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers whose comments greatly improved the clarity of the presentation. ...
doi:10.1109/tasl.2008.2001108
fatcat:ntim5fn2wzfxldvm7iazh2ti7q
Making the most of fMRI at 7 T by suppressing spontaneous signal fluctuations
2009
NeuroImage
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In order to overcome these limitations, we adapted and improved a recently described correlated-noise suppression method , demonstrating improved precision in estimating the response to ultra-short visual ...
Experimental results obtained from application of the original method showed a 66% improvement in estimation precision. ...
Acknowledgments This research was supported by the Intramural Research Program of the NIH, NINDS. ...
doi:10.1016/j.neuroimage.2008.08.037
pmid:18835582
pmcid:PMC2784593
fatcat:qzwmcalncnazvjackx3cq6lsly
An Effective Adaptive Threshold Based Compressive Spectrum Sensing in Cognitive Radio Networks
2021
Information Technology in Industry
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In the low SNR region, this proposed technique reduces the effect of noise and improves the spectrum sensing performance. ...
To conquer this problem, noise variance is estimated using parametric estimation technique and the threshold is varied adaptively. ...
In order to improve the performance of this technique in the noisy low SNR region, we propose adaptive noise variance based compressive measurements sensing. ...
doi:10.17762/itii.v9i1.260
fatcat:we34wun3rfg7jbiaowttjgkyiy
Acoustic Echo Cancellation Postfilter Design Issues For Speech Recognition System
[article]
2013
arXiv
pre-print
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The main advantage of this approach is that the residual echo and noise suppression does not suffer from the existence of a strong acoustic echo component. ...
A disadvantage is that the input signal of the Acoustic echo cancellation (AEC) has a low signal-to-noise ratio (SNR). ...
The presence of a strong direct echo results in an erroneous estimate of both the reverberation time and the initial power [27] .
ii. ...
arXiv:1305.1141v1
fatcat:zlvx5hokqzgv7gzpfl2ur7kbda
Beyond establishing involvement: quantifying the contribution of anticipatory α- and β-band suppression to perceptual improvement with attention
2012
Journal of Neurophysiology
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Using a novel method, we then quantified the contribution (in a predictive but not causal sense) of two well-established neural phenomena to the improvement in perception with attentional orienting. ...
improvement in tactile perception. ...
GRANTS We gratefully acknowledge the support of the BrainGain Smart Mix Programme of the Ministry of Economic Affairs and the Ministry of Education, Culture and Science of the Netherlands. ...
doi:10.1152/jn.00347.2012
pmid:22896721
fatcat:l2yps7wrwrejbgbazxsddwigkm
Variance Weighted Vector Fitting for Noisy Frequency Responses
2010
IEEE Microwave and Wireless Components Letters
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The modification is straightforward and does not increase the computational cost of Vector Fitting, but it significantly improves its convergence and accuracy properties in the presence of noise. ...
This letter presents a modification of the Vector Fitting algorithm to estimate rational models of frequency responses affected by noise, e.g. in the case of measured data. ...
presence of noise. ...
doi:10.1109/lmwc.2010.2042546
fatcat:vyfixrhxdngpjmzsh4ccczs3oi
Comparison of Time-Delay Estimation Techniques in Acoustic Environment
2010
International Journal of Computer Applications
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Speech enhancement, speaker localization, speech and speaker recognition are few applications of TDE methods. We are implementing various methods for the estimation of time delay. ...
Their simulation results are compared in terms of computation complexity, hardware implementation, precision, and accuracy. ...
In particular, the quantitative behavior of the estimator variance for reverberation can be explained naturally in terms of an equivalent signal-to-noise ratio (SNR), which treats the reverberant energy ...
doi:10.5120/1234-1634
fatcat:uvscfvfpjfhxbhkzvcevzwnkcq
Static and dynamic functional connectomes represent largely similar information
[article]
2023
biorxiv/medrxiv
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and the number of regions considered in estimating a single edge (bivariate vs. multivariate). ...
Functional connectivity (FC) in blood oxygen level-dependent (BOLD) fMRI time series can be estimated using methods that differ in sensitivity to the temporal order of time points (static vs. dynamic) ...
Simulation of the effects of noise in which we added various levels of noise to the fMRI time series showed that noise affects estimates of the behavioral variance explained by the connectome. ...
doi:10.1101/2023.01.24.525348
pmid:36747845
pmcid:PMC9900764
fatcat:lyrue5xivbggxmq6wut6lreo4q
Stochastic speckle noise compensation in optical coherence tomography using non-stationary spline-based speckle noise modelling
2013
Biomedical Optics Express
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In this study, an innovative speckle noise compensation method is presented for handling the non-stationary traits of speckle noise in OCT imagery. ...
Test results showed improved performance of the proposed novel algorithm compared to a number of previously published speckle noise compensation approaches in terms of higher signalto-noise ratio (SNR) ...
Acknowledgments The study was funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada, the Canadian Institutes of Health Research (CIHR), and the Ontario Ministry of Research ...
doi:10.1364/boe.4.001769
pmid:24049697
pmcid:PMC3771847
fatcat:ohuxnmbh5fedjm6du3jubgcbje
Regularized Estimation of Retinal Vascular Oxygen Tension From Phosphorescence Images
2009
IEEE Transactions on Biomedical Engineering
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The level of retinal oxygenation is potentially an important cue to the onset or presence of some common retinal diseases. ...
The method is shown to yield estimates that are robust to noise and whose variance is lower than that obtained with the classical LS method. ...
Acknowledgments This work was supported by the National Institutes of Health (NIH) under Grant EY01792 (Department Core). The work of M. Shahidi was supported in part by the NIH under Grant EY017918. ...
doi:10.1109/tbme.2009.2020505
pmid:19389690
pmcid:PMC2885291
fatcat:c4bmmqn63jbvti5r3r3b36kk6i
An MMSE Estimator for Speech Enhancement Under a Combined Stochastic–Deterministic Speech Model
2007
IEEE Transactions on Audio, Speech, and Language Processing
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the combined stochastic-deterministic speech model leads to improved performance of approximately 0.8 dB segmental signal-to-noise ratio (SNR) over the use of a stochastic model alone. ...
Evaluation with perceptual evaluation of speech quality (PESQ) shows performance improvements of approximately 0.15 on an MOS scale. ...
The variance of the latter is smaller than the variance of the first cloud and is only due to the noise variance in (2) . ...
doi:10.1109/tasl.2006.881666
fatcat:prjcrttoqjghloj6mz6l2tzrs4
Modeling of Inertial Rate Sensor Errors Using Autoregressive and Moving Average (ARMA) Models
[chapter]
2019
Gyroscopes - Principles and Applications [Working Title]
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The suggested algorithm is explained in two stages: (i) an adaptive transitive factor (a 1 ) is introduced into a predicted state error covariance for adaption. ...
The Allan variance (AV) analysis is used to identify and quantify the random noise sources of MEMS gyro signal. The performance of the suggested algorithm is analyzed using AV for static signal. ...
Section 2, explains the theory of ARMA models for MEMS gyroscope random noise analysis. The Allan Variance method is explained in Section 3. ...
doi:10.5772/intechopen.86735
fatcat:iyqidjx2brgajin6ybkajg27ia
Noise Reduction in the Swept Sine Identification Procedure of Nonlinear Systems
2021
Applied Sciences
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This analysis allows us to propose an original technique to mitigate the effects of additive noise in order to improve the accuracy of model parameters estimation. ...
In this paper we address the problem of the robustness of this model parameter estimation procedure in the presence of noise in the measurement step. ...
Acknowledgments: The authors acknowledge the support of L. Senni and S. Laureti for the acquisition of laboratory data. ...
doi:10.3390/app11167273
fatcat:5uxjyiv6enhlbpmdnujcq6qohe
Optimizing weak lensing mass estimates for cluster profile uncertainty
2011
Monthly notices of the Royal Astronomical Society
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2011 pre-print arXiv:1104.2596v1 fatcat:voutsol74jakpedbwxauocpzsaOther Versions
(LSS) about as much as the latter improve on an estimator that only minimizes the influence of shape noise. ...
We use N-body simulated halos to derive and evaluate a weak lensing circular aperture mass measurement M_ap that minimizes the mass estimate variance <(M_ap - M_200m)^2> in the presence of all these forms ...
SS acknowledges support by TR33 "The Dark Universe" and the DFG Cluster of Excellence on the "Origin and Structure of the Universe". ...
doi:10.1111/j.1365-2966.2011.19135.x
fatcat:bvxdanb2xvdepkd56dbbo2jpaq
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