# [PDF] Top 20 Stacked Sparse Non-Linear Blind Source Separation

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### Stacked Sparse Non-Linear Blind Source Separation

... NTRODUCTION **Blind** **Source** **Separation** is a major tool to learn meaningful decompositions of multivalued data [1], ...to **linear** BSS: m observations are **linear** combinations of n sources of ... Voir le document complet

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### Faster and better sparse blind source separation through mini-batch optimization

... Abstract **Sparse** **Blind** **Source** **Separation** (sBSS) plays a key role in scientific do- mains as different as biomedical imaging, remote sensing or astrophysics, which require the development of ... Voir le document complet

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### Heuristics for Efficient Sparse Blind Source Separation

... A. **Blind** **Source** **Separation** problem In the BSS [1] framework, the data are composed of m observations, each of which has t ...some **linear** combinations of n ...the **source** and the mixing ... Voir le document complet

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### Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation

... of **blind** **source** separa- tion for underdetermined convolutive ...the **sparse** representation of the **source** signals, we formulate the **separation** problem into an optimization ... Voir le document complet

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### Optimization framework for large-scale sparse blind source separation

... the **non**-asymptotical noisy setting in the presence of outliers, with potentially over-complete dictionaries ...be **sparse** enough (and follow other assumptions), A ∗ must be sufficiently inco- herent ... Voir le document complet

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### Stacked Sparse Blind Source Separation for Non-Linear Mixtures

... that **sparse** sources both have **non**-zeros values at the same ...the **source** coefficients lie on the axes (in this work we even assume that all coefficients lie on the axes – this hypothesis is discussed ... Voir le document complet

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### Semi-Blind Student's t Source Separation for Multichannel Audio Convolutive Mixtures

... audio **source** separa- tion method based on exact convolutive mixture modeling and Student’s t **source** ...a **sparse** and an NMF-based **source** model. The semi- **blind** experimental evaluation ... Voir le document complet

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### An Unified Approach for Blind Source Separation Using Sparsity and Decorrelation

... Terms— **Blind** **Source** **Separation**; Sparsity; Inde- pendant Component Analysis; Optimization ...instantaneous **linear** mixture model of BSS assumes that: x = As + e , (1) where x ∈ R M ×T and s ∈ R ... Voir le document complet

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### Blind source separation techniques - Another way of doing operational modal analysis

... [9] Belouchrani, A., Abed-Meraim, K., Cardoso, J.F., Molines, E., A BSS technique using 2nd-order statistics, IEEE Trans. on Signal Processing 45, 434–44, 1997. [10] James, G.H., Carne, T.G., Lauffer, J.P., The natural ... Voir le document complet

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### 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 ...a **linear** O(N K) ... Voir le document complet

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### Blind source separation of underdetermined mixtures of event-related sources

... and **source** parameters ...th **source**, we identify L q event-synchronized windows of length T q of the corresponding time ...event-related **source**, such as the maximum amplitude in the case of impulsive ... Voir le document complet

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### Muscle artifact removal in ictal scalp-EEG based on blind source separation

... III. M ETHODS A. Independent component analysis The concept of ICA was introduced by Herault and Jut- ten [12], especially in order to solve the BSS problem. In the mid 90s, Comon presented a mathematical formulation of ... Voir le document complet

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### Nonlinear Blind Source Separation for Chemical Sensor Arrays Based on a Polynomial Representation

... yi−ei di . (4) If the slope values were exact (and the mixture were perfectly modeled by (2), which is not the case), it can be shown that x = As, which is a **linear** mixture of the two sources which can then be ... Voir le document complet

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### Informed audio source separation from compressed linear stereo mixtures

... developping **source** **separation** methods that enable the efficient **separation** of many different sound sources from only 2-channel mixture ...(because **non**-invertible) configuration of the ... Voir le document complet

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### Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors

... Keywords **Source** **separation** · Bayesian approach · Nonlinear mixtures · Truncated priors · Scanned images 1 Introduction The problem of **Blind** **Source** **Separation** (BSS) concerns the recovery ... Voir le document complet

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### Nonnegative tensor factorization with frequency modulation cues for blind audio source separation

... a **sparse** nonnegative tensor comprising the audio spectrogram and local frequency- slope-to-frequency ratios, which are estimated at each time-frequency bin using the Distributed Derivative ...as **separation** ... Voir le document complet

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### ICAR, a tool for Blind Source Separation using Fourth Order Statistics only

... 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

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### Signal separation in convolutive mixtures : contributions to blind separation of sparse sources and adaptive subtraction of seismic multiples

... 5.8 Conclusion In this chapter 5 , we have shown that ICA-based methods for adaptive subtraction are some kind of matching ﬁlter, with diﬀerent windowing strategies. In particular, Infomax, negentropy maximization and ... Voir le document complet

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### Informed source separation of linear instantaneous under-determined audio mixtures by source index embedding

... based **separation** process has its own limitations: for example, it cannot process two sources located at the same position, since the corresponding submatrix is not ...stereo" **source** signals ...2-channel ... Voir le document complet

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### Blind Source Separation with Outliers in Transformed Domains

... O 1 T O (d) O 1 Φ T O , second data set. Figure 4: Scatter plots of two expansion coefficients of the sources (left), and illustrations of the expansion coefficients of the outliers (right). The top row corresponds to ... Voir le document complet

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