Results 281 to 290 of about 4,267,953 (306)

Independent vector analysis for real world speech processing

SPIE Proceedings, 2007
We introduce independent vector analysis (IVA) which is an extension of independent component analysis (ICA) to multivariate components. In a set of ICA mixtures, IVA groups dependent source components across different ICA mixtures and regard them as a multivariate source.
Intae Lee, Te-Won Lee
openaire   +1 more source

Independent vector analysis incorporating active and inactive states

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that avoids the well-known permutation problem in frequency domain blind source separation (BSS). In this paper, we exploit the nonstationarity of signals, a common feature, for BSS.
Alireza Masnadi-Shirazi, Bhaskar Rao
openaire   +1 more source

Independent vector analysis with sparse inverse covariance estimation

2023
A fundamental task in the analysis of multiple sets of data is the source recovery problem when little is known about the observed data. Real-world applications for this problem include the analysis of medical imaging such as fMRIs, multi-modal disinformation detection, video surveillance, and molecular data fusion, among others.
openaire   +1 more source

Combining Independent Component Analysis with Support Vector Machines

2006 1st International Symposium on Systems and Control in Aerospace and Astronautics, 2006
Recently, support vector machine (SVM) has become a popular tool in pattern recognition. In developing a successful SVM classifier, the first step is feature extraction. This paper proposes the application of independent component analysis (ICA) to SVM for feature extraction.
null Genting Yan, null Guangfu Ma, J. Lv, null Bin Song   +3 more
openaire   +1 more source

Speech Separation Using Independent Vector Analysis with an Amplitude Variable Gaussian Mixture Model

Interspeech, 2019
Independent vector analysis (IVA) utilizing Gaussian mixture model (GMM) as source priors has been demonstrated as an effective algorithm for joint blind source separation (JBSS).
Zhaoyi Gu, Jing Lu, Kai-Jyun Chen
semanticscholar   +1 more source

Independent Vector Analysis: Theory, Algorithms, and Applications

2013
The field of blind source separation (BSS) is a well studied discipline within the signal processing community due to its applicability to a variety of problems when the data observation model is poorly known or difficult to model. For example, in the study of the human brain with functional magnetic resonance imaging (fMRI), a neuroimaging sensor, BSS
openaire   +1 more source

Nonorthogonal Independent Vector Analysis Using Multivariate Gaussian Model

2010
We consider the problem of joint blind source separation of multiple datasets and introduce an effective solution to the problem. We pose the problem in an independent vector analysis (IVA) framework utilizing the multivariate Gaussian source vector distribution.
Matthew Anderson, Xi-Lin Li, Tülay Adalı   +2 more
openaire   +1 more source

An Explicit Connection Between Independent Vector Analysis and Tensor Decomposition in Blind Source Separation

IEEE Signal Processing Letters, 2022
Haoxin Ruan, Tong Lei, Kai-Jyun Chen, Jing Lu   +3 more
semanticscholar   +1 more source

Independent vector analysis based on binary grey wolf feature selection and extreme learning machine for bearing fault diagnosis

Journal of Supercomputing, 2022
Chouaib Souaidia, T. Thelaidjia, S. Chenikher   +2 more
semanticscholar   +1 more source

Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis

2007
A multivariate non-parametric approach for the processing of fMRI group data is important to address variability of hemodynamic responses across subjects, sessions, and brain regions. Independent component analysis (ICA) has a limitation during the inference of group effects due to a permutation problem of independent components.
Jong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, Seung-Schik Yoo   +3 more
openaire   +1 more source