Relevant bibliographies by topics / Frequency invariant beamforming

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Frequency invariant beamforming'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Frequency invariant beamforming"

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Dotlić, I. D. "Minimax frequency invariant beamforming." Electronics Letters 40, no. 19 (2004): 1230. http://dx.doi.org/10.1049/el:20045472.

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Ward, D. B., Zhi Ding, and R. A. Kennedy. "Broadband DOA estimation using frequency invariant beamforming." IEEE Transactions on Signal Processing 46, no. 5 (1998): 1463–69. http://dx.doi.org/10.1109/78.668812.

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Parra, Lucas C. "Steerable frequency-invariant beamforming for arbitrary arrays." Journal of the Acoustical Society of America 119, no. 6 (2006): 3839–47. http://dx.doi.org/10.1121/1.2197606.

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Greco, Danilo, and Andrea Trucco. "Superdirective Robust Algorithms’ Comparison for Linear Arrays." Acoustics 2, no. 3 (2020): 707–18. http://dx.doi.org/10.3390/acoustics2030038.

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Frequency-invariant beam patterns are often required by systems using an array of sensors to process broadband signals. In some experimental conditions (small devices for underwater acoustic communication), the array spatial aperture is shorter than the involved wavelengths. In these conditions, superdirective beamforming is essential for an efficient system. We present a comparison between two methods that deal with a data-independent beamformer based on a filter-and-sum structure. Both methods (the first one numerical, the second one analytic) formulate a mathematical convex minimization pro
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Yan, Shefeng, and Yuanliang. "Frequency invariant beamforming via jointly optimizing spatial and frequency responses." Progress in Natural Science 15, no. 4 (2005): 368–74. http://dx.doi.org/10.1080/10020070512331342250.

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Marciano, J. S., and T. B. Vu. "Reduced complexity beam space broadband frequency invariant beamforming." Electronics Letters 36, no. 7 (2000): 682. http://dx.doi.org/10.1049/el:20000481.

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Sekiguchi, Takashi, and Yoshio Karasawa. "Frequency‐invariant adaptive receiving and transmitting null beamforming." Electronics and Communications in Japan (Part I: Communications) 84, no. 11 (2001): 26–34. http://dx.doi.org/10.1002/ecja.1050.

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Feng, Lifang, Guolong Cui, Xianxiang Yu, Ruitao Liu, and Qinghui Lu. "Wideband frequency-invariant beamforming with dynamic range ratio constraints." Signal Processing 181 (April 2021): 107908. http://dx.doi.org/10.1016/j.sigpro.2020.107908.

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Chen, H. H., S. C. Chan, and K. L. Ho. "Adaptive Beamforming Using Frequency Invariant Uniform Concentric Circular Arrays." IEEE Transactions on Circuits and Systems I: Regular Papers 54, no. 9 (2007): 1938–49. http://dx.doi.org/10.1109/tcsi.2007.904648.

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Wang, Yong, Yixin Yang, Zhengyao He, Yuanliang Ma, and Bing Li. "Robust Superdirective Frequency-Invariant Beamforming for Circular Sensor Arrays." IEEE Signal Processing Letters 24, no. 8 (2017): 1193–97. http://dx.doi.org/10.1109/lsp.2017.2712151.

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Dissertations / Theses on the topic "Frequency invariant beamforming"

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Ward, Darren Brett, and db_ward@hotmail com. "Theory and application of broadband frequency invariant beamforming." The Australian National University. Faculty of Engineering and Information Technology, 1996. http://thesis.anu.edu.au./public/adt-ANU20050418.112459.

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In many engineering applications, including radar, sonar, communications and seismology, the direction of impinging signal wavefronts can be used to discriminate between competing sources. Often these source signals cover a wide bandwidth and conventional narrowband beamforming techniques are ineffective, since spatial resolution varies significantly across the band. In this thesis we consider the problem of beamforming for broadband signals, primarily when the spatial response remains constant as a function of frequency. This is called a frequency invariant beamformer (FIB).¶ Rather than ap
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Zhao, Yong. "Application of frequency invariant constraints to wideband beamforming." Thesis, University of Sheffield, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555223.

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Different from the narrowband beamformer with a single frequency response, there exists a group of frequency responses for the wideband case since its received signal has significant frequency content. Thus it is crucial to find an effective way to achieve good frequency response consistency to the desired wideband signal. Otherwise there would be a lowpass filtering effect, causing distortion to some frequency components of it. In this thesis, we will focus on the topic of frequency invariance in the design of wideband beamformers. Firstly our effort comes to the design of a special class of
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Koh, Choo Leng. "Broadband adaptive beamforming with low complexity and frequency invariant response." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/69593/.

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This thesis proposes different methods to reduce the computational complexity as well as increasing the adaptation rate of adaptive broadband beamformers. This is performed exemplarily for the generalised sidelobe canceller (GSC) structure. The GSC is an alternative implementation of the linearly constrained minimum variance beamformer, which can utilise well-known adaptive filtering algorithms, such as the least mean square (LMS) or the recursive least squares (RLS) to perform unconstrained adaptive optimisation. A direct DFT implementation, by which broadband signals are decomposed into freq
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Babatas, Eren. "Frequency Invariant Beamforming And Its Application To Wideband Direction Of Arrival Estimation A Thesis Submitted To The Graduate School Of Natural And Applied Sciences Of Middle East Technical University By Eren Babatas In Partial Fullfillment O." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12609975/index.pdf.

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In this thesis the direction of arrival estimation of wideband signals using frequency invariant beamforming method is examined. The difficulty with the direction of arrival estimation of wideband signals is that it is not possible to obtain a single covariance matrix valid for the whole frequency spectrum of the signal. There are various methods proposed in the literature to overcome this difficulty. The common aim of all the methods is to obtain a composite covariance matrix for the overall band of the signal. In this thesis, we concentrate on a method in [12]. This method is based on a beam
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Book chapters on the topic "Frequency invariant beamforming"

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Lv, Qi, Xianda Zhang, and Ying Jia. "Blind Separation Combined Frequency Invariant Beamforming and ICA for Far-field Broadband Acoustic Signals." In Advances in Neural Networks – ISNN 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427445_88.

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"Frequency Invariant Beamforming." In Wideband Beamforming. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470661178.ch5.

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Conference papers on the topic "Frequency invariant beamforming"

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Pal, Piya, and P. P. Vaidyanathan. "Efficient frequency invariant beamforming using virtual arrays." In 2010 44th Asilomar Conference on Signals, Systems and Computers. IEEE, 2010. http://dx.doi.org/10.1109/acssc.2010.5757573.

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Liu, Wei, Des McLernon, and Mounir Ghogho. "Frequency Invariant Beamforming Without Tapped Delay-Lines." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366406.

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Erokhin, Alexey A., Evgeniy R. Gafarov, and Yury P. Salomatov. "Frequency-Invariant Beamforming with Real FIR-filters." In 2019 Radiation and Scattering of Electromagnetic Waves (RSEMW). IEEE, 2019. http://dx.doi.org/10.1109/rsemw.2019.8792700.

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Alshammary, Abdullah. "Frequency invariant beamforming using sensor delay line." In 2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC). IEEE, 2011. http://dx.doi.org/10.1109/siecpc.2011.5876918.

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Alshammary, Abdullah. "Frequency invariant beamforming using sensor delay line." In 2012 Middle East Conference on Antennas and Propagation (MECAP). IEEE, 2012. http://dx.doi.org/10.1109/mecap.2012.6618194.

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Medda, Alessio, and Arjun Patel. "Frequency invariant beamforming for arbitrary planar arrays." In 2017 51st Asilomar Conference on Signals, Systems, and Computers. IEEE, 2017. http://dx.doi.org/10.1109/acssc.2017.8335527.

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Barfuss, Hendrik, Christian Huemmer, Gleni Lamani, Andreas Schwarz, and Walter Kellermann. "HRTF-based robust least-squares frequency-invariant beamforming." In 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, 2015. http://dx.doi.org/10.1109/waspaa.2015.7336933.

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Wang, Qingcui, Shuanping Du, and Hengheng Quan. "Robust Frequency Invariant Beamforming based on Convex Optimization." In 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2018. http://dx.doi.org/10.1109/wcsp.2018.8555874.

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Jing Li and Huawei Chen. "Least squares frequency invariant beamforming robust against microphone mismatches." In 2011 International Conference on Information Science and Technology (ICIST). IEEE, 2011. http://dx.doi.org/10.1109/icist.2011.5765299.

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Barfuss, Hendrik, Marcel Mueglich, and Walter Kellermann. "HRTF-based robust least-squares frequency-invariant polynomial beamforming." In 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE, 2016. http://dx.doi.org/10.1109/iwaenc.2016.7602909.

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