Results 1 to 10 of about 1,313 (162)

Investigation of Separating Temperature-Induced Structural Strain Using Improved Blind Source Separation (BSS) Technique [PDF]

Sensors
The 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, Xin Zhang, Dragoslav Sumarac, Jiayi Peng, László Dunai, Yufeng Zhang   +5 more
doaj   +4 more sources

A Novel Radar Mainlobe Anti-Jamming Method via Space-Time Coding and Blind Source Separation [PDF]

Sensors
This 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, Yu Wang, Yangcheng Zheng, Guodong Jin, Daiyin Zhu   +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]

Sensors
Mainlobe 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, Huafeng He, Xiang Liu, Liyuan Wang, Yongquan You, Zhen Li, Xiaofei Han   +6 more
doaj   +2 more sources

Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation

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, Alexander Tait, Chaoran Huang, Thomas Ferreira de Lima, Simon Bilodeau, Eric C. Blow, Aashu Jha, Bhavin J. Shastri, Paul Prucnal   +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

Advances in Time-Frequency Analysis for Blind Source Separation: Challenges, Contributions, and Emerging Trends

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, Danju Lv, Jiang Liu, Xin Huang, Wang Yao, Mingyuan Gao, Rui Xi, Yan Zhang   +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, Tariqullah Jan, Ruhul Amin Khalil, Nasir Saeed, Muhannad Almutiry   +4 more
doaj   +1 more source

DWT-BSS: Blind Source Separation applied to EEG signals by extracting wavelet transform’s approximation coefficients

Journal of Physics: Conference Series, 2023
Abstract The Electroencephalogram (EEG) signal is widely contaminated by a physiological artifact, such as muscle activity, heart rhythm, and eye movement. The researcher has proposed a number of methods to clean the EEG signal. A group of these methods is called Blind Source Separation (BSS).
H. Massar, B. Nsiri, T. Belhoussine Drissi   +2 more
openaire   +1 more source

Spiny Lobster Sound Identification Based on Blind Source Separation (BSS) for Passive Acoustic Monitoring (PAM)

Procedia Computer Science, 2021
Abstract Spiny lobsters are targeted in capture fisheries due the high market demand and this situation has led to overfishing activities. Therefore, a smart monitoring system is imperative to be developed in handling this issue in order to store the distribution of marine spiny lobsters’ information such as habitat preferences, population density ...
Fatin Izzati MA Hadi, Dzati Athiar Ramli, Norsalina Hassan   +2 more
openaire   +1 more source