Acoustic sources mapping based on the non-negative L1/2 regularization

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Cite
Bai, Baohong, and Xiaodong Li. “Acoustic Sources Mapping Based on the Non-Negative L1 2 Regularization”. Applied Acoustics, vol. 169, 2020, p. 107456, https://doi.org/10.1016/j.apacoust.2020.107456.
Bai, B., & Li, X. (2020). Acoustic sources mapping based on the non-negative L1/2 regularization. Applied Acoustics, 169, 107456. https://doi.org/10.1016/j.apacoust.2020.107456
Bai, Baohong, and Xiaodong Li. “Acoustic Sources Mapping Based on the Non-Negative L1 2 Regularization”. Applied Acoustics 169 (2020): 107456. https://doi.org/10.1016/j.apacoust.2020.107456.
Bai B, Li X. Acoustic sources mapping based on the non-negative L1/2 regularization. Applied Acoustics. 2020;169:107456.
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Physics
Science
Physics
Acoustics
Sound
Science
Physics
Optics
Light
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Citations
Title Journal Journal Categories Citations Publication Date
Off-grid deconvolution beamforming for acoustic source identification Applied Acoustics
  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
  • Science: Physics: Acoustics. Sound
  • Science: Physics
 2024
Proximal Alternating Direction Method of Multipliers for Solving 3-D Electromagnetic Inverse Scattering Problems IEEE Transactions on Microwave Theory and Techniques
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 2024
Localization of cyclostationary acoustic sources via cyclostationary beamforming and its high spatial resolution implementation Mechanical Systems and Signal Processing
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
 1 2023
A Fast and Robust Localization Method for Low-Frequency Acoustic Source: Variational Bayesian Inference Based on Nonsynchronous Array Measurements IEEE Transactions on Instrumentation and Measurement
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines
  • Technology: Engineering (General). Civil engineering (General)
 1 2021
Citations Analysis
Category Category Repetition
Technology: Engineering (General). Civil engineering (General)2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks2
Science: Physics: Acoustics. Sound1
Science: Physics: Optics. Light1
Science: Physics1
Technology: Mechanical engineering and machinery1
Science: Mathematics: Instruments and machines1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
The category Technology: Engineering (General). Civil engineering (General) 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Fast and Robust Localization Method for Low-Frequency Acoustic Source: Variational Bayesian Inference Based on Nonsynchronous Array Measurements and was published in 2021. The most recent citation comes from a 2024 study titled Off-grid deconvolution beamforming for acoustic source identification. This article reached its peak citation in 2024, with 2 citations. It has been cited in 4 different journals. Among related journals, the Applied Acoustics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year