contrast-based source separation
A study of high-redshift AGN feedback in SZ cluster samples
... In contrast to studies of nearby systems, we do not find a separation between cooling flow (CF) clusters and non-CF clusters based on the radio luminosity of the central radio source ...
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Calculation of Leakage in Water Supply Network Based on Blind Source Separation Theory
... leakage separation experiment, the relative error range between simulated and real leakage is only ...leakage separation experiment, which was limited to topology of WSN, node flow and pressure ...In ...
13
Spatial location priors for Gaussian model based reverberant audio source separation
... of source separation algo- rithms grounded on the emerging Gaussian EM frame- ...In contrast with classical ML estimation of the spatial parameters, we proposed two priors exploiting a result from ...
11
Contribution of statistical tests to sparseness-based blind source separation
... the source dis- tributions. In contrast, sparseness-based methods solve the UBSS problem [12-20] without prior knowledge on the source distribution, by exploiting the sparse- ness of the ...
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Study on Separation of Underwater Vehicle Noise Based on Blind Source Separation
... method based on blind source separation (BBS) is presented, and the kernel independent component analysis (KICA) is used in the separation of underwater vehicle ...
5
Blind Source Separation for NMR Spectra with Negative Intensity
... blind source separation techniques to reproduce the spectra of the underlying pure ...blind source separation do not considerably improve ...blind source separation to NMR ...
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Diesel Engine Bearing Fault Diagnosis Based on Underdetermined Blind Source Separation
... blind source separation is applied to the simulation signal in which the number of observation signals is less than that of the source signals by using the method of adaptive ...the source ...
7
Towards Efficacy of EEG Neurofeedback from Traditional to Advanced Approach: A Review
... A new method called Intracerebral Functional Connectivity (IFC) has been proposed to provide good spatial resolution. This study concluded results for dyslexia treatment where feedback was lagged phased synchrony. ...
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Improving model based convolutive blind source separation techniques via bootstrap
... Blind source separation for underdetermined reverber- ant mixtures is often achieved by assuming a statistical model for cues of interest where the unknown parameters of the statistical model depend on ...
5
Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface
... nonlinear classifiers have the disadvantage that the classifier’s weights do not provide a simple proxy measure of the in- put feature’s importance, as is the case with the linear SVM formulation. We also used only one ...
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FPGA Implementation of Blind Source Separation using FastICA
... FPGA is a large-scale integrated circuit that can be programmed after it is manufactured rather than being limited to a predetermined unchangeable hardware function. FPGA technology is widely used in digital signal ...
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Blind source separation using temporal predictability
... independent source signals and their mixtures, a method that relies on constraints from all of these properties might be expected to deal with a wide range of signal ...underlying source signals are not ...
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BLIND SOURCE SEPARATION AND ICA TECHNIQUES: A REVIEW
... blind separation can be carried out directly in the time ...blind separation is implemented in time-frequency ...blind source separation (BSS) problem with a sparse independent component ...
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VLSI Design for Convolutive Blind Source Separation
... The Infomax filtering module for the proposed system is shown in fig.3. In the fig. 1, the CBSS separation network contains four causal FIR filters. These filters are adaptive because stochastic learning rules ...
6
A dynamic latent variable model for source separation
... We consider a speech denoising scenario where prior information about the noise types and the associated training data is available. Both the noise and the speech are first normalized to have zero mean and unit variance. ...
6
Constrained independent component analysis for non-obtrusive pulse rate measurements using a webcam
... independent source signals using ...desired source; otherwise the components were not ...selected source and the frequency at which highest power is achieved was used as the corresponding pulse ...
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Separation and Localisation of P300 Sources and Their Subcomponents Using Constrained Blind Source Separation
... In this paper, a constrained BSS method has been developed to separate and localise the P300 signals and their constituent subcomponents from the EEG/ERP signals. The incorpo- rated constraint minimises the distance ...
10
Dependent Gaussian mixture models for source separation
... GMM source model were fixed to be m = 2, following the same reasoning as in the simulation ...parameters, based on discus- sions on the expected marginal properties of the ...
11
Denoising Source Separation
... principal direction. The asterisk is used to stress the fact that the estimate is at the fixed point. The operation of the linear DSS algorithm is depicted in Fig. 1. Figure 1a shows two sources that have been mixed into ...
40
Denoising source separation
... spiky source estimates (S¨arel¨a and Vig´ario, 2003, Hyv¨arinen, ...kurtosis based denoising is shown. Assume that via some means source estimate shown in ...The source seems to contain ...
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