Results 11 to 20 of about 2,524,223 (282)
Accelerating Auxiliary Function-Based Independent Vector Analysis [PDF]
Independent Vector Analysis (IVA) is an effective approach for Blind Source Separation (BSS) of convolutive mixtures of audio signals. As a practical realization of an IVA-based BSS algorithm, the so-called AuxIVA update rules based on the Majorize-Minimize (MM) principle have been proposed which allow for fast and computationally efficient ...
Brendel, Andreas, Kellermann, Walter
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Overdetermined Independent Vector Analysis [PDF]
We address the convolutive blind source separation problem for the (over-)determined case where (i) the number of nonstationary target-sources $K$ is less than that of microphones $M$, and (ii) there are up to $M - K$ stationary Gaussian noises that need not to be extracted. Independent vector analysis (IVA) can solve the problem by separating into $M$
Ikeshita, Rintaro +2 more
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Brain signals can be measured using multiple imaging modalities, such as magnetic resonance imaging (MRI)-based techniques. Different modalities convey distinct yet complementary information; thus, their joint analyses can provide valuable insight into ...
Chunying Jia +5 more
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As the main method of information transmission, it is particularly important to ensure the security of speech communication. Considering the more complex multipath channel transmission situation in the wireless communication of speech signals and ...
Shiyu Guo +4 more
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Face Recognition System Using Independent Components Analysis and Support Vector Neural Network Classifier [PDF]
With an increasing number of security threats in recent years, the field of automatic facial recognition has seen many new developments. The introduction of many new face recognition algorithms focuses on increasing the accuracy rate of the recognition ...
Shihab Mustafa A. +4 more
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Infrasound Signal Classification Based on ICA and SVM [PDF]
A diagnostic technique based on independent component analysis (ICA), fast Fourier transform (FFT), and support vector machine (SVM) is suggested for effectively extracting signal features in infrasound signal monitoring.
Quanbo Lu, Meng Wang, Mei Li
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By introducing a frequency dependence source prior including full-band and clique models, independent vector analysis (IVA) has been successfully used for convolutive blind source separation (BSS). In addition, independent low-rank matrix analysis (ILRMA)
Ui-Hyeop Shin, Hyung-Min Park
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Independent Vector Analysis Inspired Amateur Drone Detection Through Acoustic Signals
Detection of amateur drones (AmDrs) is mandatory requirement of various defence organizations and is also required to protect human life. In literature, various researchers contributed in this regard and developed different algorithms utilizing video ...
Zahoor Uddin +3 more
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Tracing Evolving Networks Using Tensor Factorizations vs. ICA-Based Approaches
Analysis of time-evolving data is crucial to understand the functioning of dynamic systems such as the brain. For instance, analysis of functional magnetic resonance imaging (fMRI) data collected during a task may reveal spatial regions of interest, and ...
Evrim Acar +5 more
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Independent Vector Analysis: Identification Conditions and Performance Bounds [PDF]
14 pages, 5 figures, in review for IEEE Trans.
Anderson, Matthew +3 more
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