Results 1 to 10 of about 267 (87)
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
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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
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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
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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
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Time-Domain Convolutive Blind Source Separation Employing Selective-Tap Adaptive Algorithms
EURASIP Journal on Audio, Speech, and Music Processing, 2007 We investigate novel algorithms to improve the convergence and reduce the complexity of time-domain convolutive blind source separation (BSS) algorithms. First, we propose MMax partial update time-domain convolutive BSS (MMax BSS) algorithm.
Pan Qiongfeng, Aboulnasr Tyseer
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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
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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
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Single-channel blind source separation of underwater acoustic signals using improved NMF and FastICA
Frontiers in Marine Science, 2023 When automatic monitoring buoys receive mixed acoustic signals from multiple underwater acoustic targets, the statistical blind source separation (BSS) task is used to separate the signals and identify vessel features, which is overly complex and needs ...
Dawei Li +4 more
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Short-Sampled Blind Source Separation of Rotating Machinery Signals Based on Spectrum Correction
Shock and Vibration, 2016 Nowadays, the existing blind source separation (BSS) algorithms in rotating machinery fault diagnosis can hardly meet the demand of fast response, high stability, and low complexity simultaneously.
Xiangdong Huang, Xukang Jin, Haipeng Fu
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Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp
Journal of Statistical Software, 2017 Blind source separation (BSS) is a well-known signal processing tool which is used to solve practical data analysis problems in various fields of science. In BSS, we assume that the observed data consists of linear mixtures of latent variables.
Jari Miettinen +2 more
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