Investigation of Separating Temperature-Induced Structural Strain Using Improved Blind Source Separation (BSS) Technique [PDF]
SensorsThe strain data acquired from structural health monitoring (SHM) systems of large-span bridges are often contaminated by a mixture of temperature-induced and vehicle-induced strain components, thereby complicating the assessment of bridge health ...
Hao’an Gu +5 more
doaj +4 more sources
A Novel Radar Mainlobe Anti-Jamming Method via Space-Time Coding and Blind Source Separation [PDF]
SensorsThis paper proposes a radar mainlobe anti-jamming method based on Space-Time Coding (STC) and Blind Source Separation (BSS). Addressing the performance degradation issue of traditional BSS methods under low Signal-to-Noise Ratio (SNR) and insufficient ...
Xinyu Ge +4 more
doaj +2 more sources
An Anti-Mainlobe Suppression Jamming Method Based on Improved Blind Source Separation Using Variational Mode Decomposition and Wavelet Packet Decomposition [PDF]
SensorsMainlobe suppression jamming significantly degrades radar detection performance. The conventional blind source separation (BSS) algorithms often fail under high-jamming-to-signal-ratio (JSR) and low-signal-to-noise-ratio (SNR) conditions.
Ruike Li +6 more
doaj +2 more sources
Nature Communications, 2023 The authors present an integrated photonic processor for blind source separation (BSS) to address broadband radio-frequency interference issues. The photonic BSS achieves 19.2 GHz processing bandwidth with highly energy-efficient BSS processing of sub-15
Weipeng Zhang +8 more
doaj +1 more source
A Survey of Optimization Methods for Independent Vector Analysis in Audio Source Separation
Sensors, 2023 With the advent of the era of big data information, artificial intelligence (AI) methods have become extremely promising and attractive. It has become extremely important to extract useful signals by decomposing various mixed signals through blind source
Ruiming Guo, Zhongqiang Luo, Mingchun Li
doaj +1 more source
IEEE Access, 2023 Blind source separation (BSS) is a critical task in untangling non-stationary signals without prior information. This paper extensively explores diverse time-frequency analysis (TFA) methods within BSS systems over the past decade.
Yangyang Li, Dzati Athiar Ramli
doaj +1 more source
Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation
Sensors, 2021 In recent years, separating effective target signals from mixed signals has become a hot and challenging topic in signal research. The SI-BSS (Blind source separation (BSS) based on swarm intelligence (SI) algorithm) has become an effective method for ...
Jiali Zi +7 more
doaj +1 more source
An Efficient Multistage Approach for Blind Source Separation of Noisy Convolutive Speech Mixture
Applied Sciences, 2021 This paper proposes a novel efficient multistage algorithm to extract source speech signals from a noisy convolutive mixture. The proposed approach comprises two stages named Blind Source Separation (BSS) and de-noising.
Junaid Bahadar Khan +4 more
doaj +1 more source
Hybrid Source Prior Based Independent Vector Analysis for Blind Separation of Speech Signals
IEEE Access, 2020 Blind Source Separation (BSS) application is a delinquent issue in a complex reverberant environment with changing room geometric dimensions and an increasing number of speech sources.
Junaid Bahadar Khan +3 more
doaj +1 more source
Group-level component analyses of EEG: validation and evaluation
Frontiers in Neuroscience, 2015 Multi-subject or group-level component analysis provides a data-driven approach to study properties of brain networks. Algorithms for group-level data decomposition of functional magnetic resonance imaging data have been brought forward more than a ...
Rene eHuster +5 more
doaj +1 more source