Beamforming: a versatile approach to spatial filtering
Abstract
An overview of beamforming from a signal-processing perspective is provided, with an emphasis on recent research. Data-independent, statistically optimum, adaptive, and partially adaptive beamforming are discussed. Basic notation, terminology, and concepts are included. Several beamformer implementations are briefly described.>
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Beamforming is increasingly used for electrophysiological source imaging.
“Alternatively, beamforming, originally established for radar and sonar applications (31), is increasingly used for ESI (32).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [31]
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- Authors
- Van Veen, B. D., & Buckley, K. M.
- Affiliations
- University of Minnesota (US)
- Venue
- IEEE ASSP Magazine
- Published
- 1988-04
- Volume
- 5
- Issue
- 2
- Pages
- 4-24
- ISSN
- 0740-7467 (ISSN-L)
- OpenAlex
- W2060108923
- Cited by
- 3,901
- References
- 69
- Citations by year
- 2026: 116 · 2025: 156 · 2024: 138 · 2023: 171 · 2022: 152 · 2021: 174 · 2020: 175 · 2019: 173 · 2018: 194 · 2017: 178 · 2016: 155 · 2015: 178 · 2014: 144 · 2013: 153 · 2012: 159
- FWCI
- 16.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE ASSP Magazine (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Engineering › Computational Mechanics › Advanced Adaptive Filtering Techniques
- Keywords
- beamforming, spatial filtering, adaptive beamforming, array signal processing
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