Results 31 to 40 of about 4,267,953 (306)
Inverse-free Online Independent Vector Analysis with Flexible Iterative Source Steering [PDF]
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2022 In this paper, we propose a new online independent vector analysis (IVA) algorithm for real-time blind source separation (BSS). In many BSS algorithms, the iterative projection (IP) has been used for updating the demixing matrix, a parameter to be ...
Taishi Nakashima, Nobutaka Ono
semanticscholar +1 more source
ISS2: An Extension of Iterative Source Steering Algorithm for Majorization-Minimization-Based Independent Vector Analysis [PDF]
European Signal Processing Conference, 2022 A majorization-minimization (MM) algorithm for independent vector analysis optimizes a separation matrix $W:= [w_{1},\ldots,\ w_{m}]^{\mathrm{H}}\in \mathbb{C}^{m\times\overline{m}}$ by minimizing a surrogate function of the form $\mathcal{L}(W):=\sum_{i=
Rintaro Ikeshita, T. Nakatani
semanticscholar +1 more source
Applied Sciences, 2021 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
doaj +1 more source
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 We address the problem of separating moving sources using online independent vector analysis (IVA). To solve this problem, researchers have extended the iterative projection (IP) and iterative source steering (ISS) algorithms developed for batch ...
Taishi Nakashima +4 more
semanticscholar +1 more source
Algorithms, 2021 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
doaj +1 more source
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Joint blind source separation (JBSS) is a powerful tool for analyzing multiple linked datasets, distinguished by the key ability to exploit cross-dataset dependencies.
B. Gabrielson +4 more
semanticscholar +1 more source
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Spatial information can help improve source separation performance. Numerous spatially informed source extraction methods based on the independent vector analysis (IVA) have been developed, which can achieve reasonably good performance in non- or weakly ...
Xianrui Wang +5 more
semanticscholar +1 more source
Face Recognition System Using Independent Components Analysis and Support Vector Neural Network Classifier [PDF]
ITM Web of Conferences, 2022 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
doaj +1 more source
Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis. [PDF]
Neuroimage, 2014 Ma S, Calhoun VD, Phlypo R, Adalı T.
europepmc +2 more sources
Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Joint Blind Source Separation (JBSS) is an essential and versatile research topic that has attracted the attention of researchers in the last decade. Independent Vector Analysis (IVA) is an exciting approach in the context of the JBSS method since it is ...
Caroline P. A. Moraes +6 more
semanticscholar +1 more source