[PDF] Top 20 Damage Detection Using Blind Source Separation Techniques
Has 10000 "Damage Detection Using Blind Source Separation Techniques" found on our website. Below are the top 20 most common "Damage Detection Using Blind Source Separation Techniques".
Damage Detection Using Blind Source Separation Techniques
... Damage detection is achieved by comparing the subspaces between the reference (healthy) state and a current state through the concept of subspace ...illustrated using experimental data. 1. ... Voir le document complet
12
Damage Detection on the Champangshiehl Bridge using Blind Source Separation
... 10. Damage detection results using ...the Blind Source Separation (BSS) family are considered and especially here, a variant of Prin- cipal Component Analysis based on the ... Voir le document complet
5
Blind source separation techniques - Another way of doing operational modal analysis
... of blind source separation (BSS) techniques for operational modal ...unobserved source signals from their observed ...demonstrated using an experimental ... Voir le document complet
9
Blind separation of audio sources using modal decomposition
... of blind source separation consists of finding independent source signals from their observed mixtures without a priori knowledge on the actual mixing ...The source separation ... Voir le document complet
5
Denoising of ictal EEG data using semi-blind source separation methods based on time-frequency priors
... and Blind Source Separation (BSS) ...BSS techniques. These techniques have been used to denoise ictal EEG data [10], [12], [14], [17]–[19] and were shown to be efficient to retrieve the ... Voir le document complet
10
ICAR, a tool for Blind Source Separation using Fourth Order Statistics only
... processing techniques, either blind or informed, second order or higher order, spatial-or spatio-temporal, Time- Invariant or Time-Varying especially for cyclostationary signals, linear or non linear and ... Voir le document complet
11
Blind Source Separation: the Sparsity Revolution
... the blind sep- aration of stationary colored Gaussian processes, but not as well using JADE as one might have ...state-of-the-art blind separation techniques which seem mostly dedicated ... Voir le document complet
83
Löwner-Based Tensor Decomposition for Blind Source Separation in Atrial Fibrillation ECGs
... based techniques, for example, their essential uniqueness with minimal or no ...experiments using synthetic and real data, showing that it can outperform the matrix-based techniques for noninvasive ... Voir le document complet
6
BLIND SOURCE SEPARATION TECHNIQUES FOR MODAL ANALYSIS: EXPERIMENTAL DEMONSTRATION
... 4.1. Setup Description The real-life structure which is considered is a stator blade extracted from a turbojet engine. The blade was tested in a clamped-free configuration with the blade root clamped in a vice as shown ... Voir le document complet
9
Blind source separation of underdetermined mixtures of event-related sources
... ECG using the first and second channels of this database is shown in Figure ...signals using πCA, FastICA and the proposed GCP and GCP+EKS are plotted, ...recovered using GCP+EKS (or ... Voir le document complet
31
Underdetermined blind source separation of audio sources in time-frequency domain
... the blind separation of audio sources in the underdetermined case, where we have more sources than ...good separation per- formance in the case where sources are disjoint in the time- frequency (TF) ... Voir le document complet
5
Geometrical Method Using Simplicial Cones for Overdetermined Nonnegative Blind Source Separation: Application to Real PET Images
... Noting that when the sources are nonnegative, the scatter plot of mixed data is contained in the simplicial cone generated by the mixing matrix, other geometrical methods were proposed f[r] ... Voir le document complet
9
Non-Negative Blind Source Separation Algorithm Based on Minimum Aperture Simplicial Cone
... Fig. 16. Four first elution profiles and corresponding mass spectra estimated by SCSA-UNS, from HPLC-LTQ Orbitrap data VIII. C ONCLUSION In this paper, we propose a geometrical method for separat- ing non-negative ... Voir le document complet
15
Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation
... 1. Source separation performance over stereo instantaneous musical ...the blind audio source sepa- ration problem in the multichannel instantaneous mixture ...without using any other ... Voir le document complet
9
Joint Blind Source Separation of Multidimensional Components: Model and Algorithm
... With these notations, es(t) = Φs(t), where Φ is the corre- sponding Km × Km permutation matrix, and e S = ΦSΦ † . We now discuss conditions under which blind identifica- tion of the component subspaces is ... Voir le document complet
6
Semi-Blind Student's t Source Separation for Multichannel Audio Convolutive Mixtures
... audio source separation in under-determined convolutive ...modeled using the time-domain impulse responses of the mixing ...time-frequency source model based on non-negative matrix ... Voir le document complet
6
An Improved Method of Permutation Correction in Convolutive Blind Source Separation
... e.g. using the short-time Fourier transform (STFT), and then instantaneous BSS is applied to each frequency bin, after which the separated signals of all frequency bins are combined and re-transformed to the ... Voir le document complet
19
Nonnegative tensor factorization with frequency modulation cues for blind audio source separation
... Our approach is inspired by [20] and [21], which present a Nonnegative Tensor Factorization (NTF) incor- porating direction-of-arrival (DOA) estimates in an un- supervised speech source separation task. ... Voir le document complet
8
Audio source separation using multiple deformed references
... 3 Inria, Centre de Nancy - Grand Est, 54600 Villers-l`es-Nancy, France 4 CNRS, IRISA - UMR 6074, Campus de Beaulieu 35042 Rennes cedex, France ABSTRACT This paper deals with audio source separation guided ... Voir le document complet
6
Nonlinear Blind Source Separation for Chemical Sensor Arrays Based on a Polynomial Representation
... a blind source separation algorithm that can be used to process the data obtained by an array of ion-selective electrodes to measure the ionic activity of different ions in an aqueous ... Voir le document complet
6
Sujets connexes