搜索结果: 1-15 共查到“Source Separation”相关记录18条 . 查询时间(0.062 秒)
Blind Source Separation from Single Measurements using Singular Spectrum Analysis
side-channel analysis signal processing filtering
2016/3/23
Singular Spectrum Analysis (SSA) is a powerful data decomposition/recomposition technique that can be used to reduce the noise in time series. Compared to existing solutions aiming at similar purposes...
REAL-TIME TIME-FREQUENCY BASED BLIND SOURCE SEPARATION
REAL-TIME TIME-FREQUENCY BLIND SOURCE SEPARATION
2015/9/29
We present a real-time version of the DUET algorithm forthe blind separation of any number of sources using only two mixtures. The method applies when sources are Wdisjoint orthogonal, that is, when t...
REAL-TIME AUDIO SOURCE SEPARATION BY DELAY AND ATTENUATION COMPENSATION IN THE TIME DOMAIN
REAL-TIME AUDIO SOURCE SEPARATION ATTENUATION COMPENSATION TIME DOMAIN
2015/9/29
There is increased interest in using microphone arrays in a variety of audio source separation and consequently speech processing applications. In particular, small arrays of two to four microphones a...
BLIND SOURCE SEPARATION BASED ON SPACE-TIME-FREQUENCY DIVERSITY
BLIND SOURCE SEPARATION SPACE-TIME-FREQUENCY DIVERSITY
2015/9/29
We investigate the assumption that sources have disjoint support in the time domain, time-frequency domain, or frequency domain. We call such signals disjoint orthogonal. The class of signals that app...
SCALABLE NON-SQUARE BLIND SOURCE SEPARATION IN THE PRESENCE OF NOISE
SCALABLE NON-SQUARE SOURCE SEPARATION PRESENCE OF NOISE
2015/9/29
Few source separation and independent component analysis approaches attempt to deal with noisy data. Weconsider an additive noise mixing model with an arbitrary number of sensors and possibly more sou...
NON-SQUARE BLIND SOURCE SEPARATION UNDER COHERENT NOISE BY BEAMFORMING AND TIME-FREQUENCY MASKING
NON-SQUARE BLIND SOURCE SEPARATION COHERENT NOISE BY BEAMFORMING TIME-FREQUENCY MASKING
2015/9/29
To be applicable in realistic scenarios, blind source separation approaches should deal evenly with non-square cases and the presence of noise. We consider an additive noisemixing model with an arbitr...
GENERALIZED SPARSE SIGNAL MIXING MODEL AND APPLICATION TO NOISY BLIND SOURCE SEPARATION
GENERALIZED SPARSE SIGNAL MIXING MODEL NOISY BLIND SOURCE SEPARATION
2015/9/29
Sparse constraints on signal decompositions are justified bytypical sensor data used in a variety of signal processing fields such as acoustics, medical imaging, or wireless, but moreover can lead to ...
SOURCE SEPARATION USING SPARSE DISCRETE PRIOR MODELS
SOURCE SEPARATION SPARSE DISCRETE PRIOR MODELS
2015/9/29
In this paper we present a new source separation method based on dynamic sparse source signal models. Source signals are modeled in frequency domain as a product of a Bernoulli selection variablewith ...
MAP SOURCE SEPARATION USING BELIEF PROPAGATION NETWORKS
MAP SOURCE SEPARATION BELIEF PROPAGATION NETWORKS
2015/9/29
In this paper we continue our treatment of source separation based on dynamic sparse source signal models. Source signals are modeled in frequency domain as a product of a Bernoulli selection variable...
SEMI-BLIND SOURCE SEPARATION FOR ESTIMATION OF CLAY CONTENT OVER SEMI-VEGETATED AREAS,FROM VNIR/SWIR HYPERSPECTRAL AIRBORNE DATA
Hyperspectral remote sensing Semi-Blind source separation Non-Negative Matrix Factorization partial least squares regression clay content semi-vegetated pixels
2015/9/21
The applicability of Visible, Near-Infrared and Short Wave Infrared (VNIR/SWIR) hyperspectral imagery for soil property mapping decreases when surfaces are partially covered by vegetation. The objecti...
Accurate,fast and stable denoising source separation algorithms
denoising source separation DSS independent component analysis ICA blind source separation BSS FastICA stability
2015/7/30
Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. First, a new scheme for accele...
Denoising source separation
blind source separation BSS prior information denoising denoising source separation DSS independent component analysis ICA magnetoencephalograms MEG CDMA
2015/7/30
A new algorithmic framework called denoising source separation (DSS) is introduced. The main benefit of this framework is that it allows for easy development of new source separation algorithms which ...
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
slow feature analysis nonlinear blind source separation independent component analysis
2015/7/15
We present and test an extension of slow feature analysis as a novel approach to nonlinear blind source separation. The algorithm relies on temporal correlations and iteratively reconstructs a set of ...
Source Separation and Clustering of Phase-Locked Subspaces: Derivations and Proofs
Index Terms—phase-locking synchrony source separation
2011/7/5
Due to space limitations, our submission "Source Separation and Clustering of Phase-Locked Subspaces", accepted for publication on the IEEE Transactions on Neural Networks in 2011, presented some resu...
Closed-Form EM for Sparse Coding and Its Application to Source Separation
Closed-Form EM Sparse Coding Source Separation
2011/6/17
We define and discuss the first sparse coding algorithm based on closed-form EM
updates and continuous latent variables. The underlying generativemodel consists
of a flexibly parameterized ‘spike-an...