@InProceedings{7760416,
  author = {V. M. Tavakoli and J. R. Jensen and R. Heusdens and J. Benesty and M. G. Christensen},
  booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
  title = {Ad hoc microphone array beamforming using the primal-dual method of multipliers},
  year = {2016},
  pages = {1088-1092},
  abstract = {In the recent years, there have been an increasing amount of researches aiming at optimal beamforming with ad hoc microphone arrays, mostly fusion-center-based schemes. However, huge computational complexities and communication overheads impede many of these algorithms from being useful in practice. In this paper, we propose a low-footprint optimization approach to reduce the convergence time and overheads for the distributed beamforming problem. We transcribe the pseudo-coherence-based beamforming which is insightful for taking into account the nature of speech. We formulate the distributed minimum variance distortionless response beamformer using the primal-dual method of multipliers. Our experiments confirm the fast convergence using the proposed distributed algorithm. It is also shown how a hard limit on the number of iterations affects the performance of the array in noise and interference suppression.},
  keywords = {array signal processing;computational complexity;convergence of numerical methods;interference suppression;iterative methods;microphone arrays;speech enhancement;ad hoc microphone array beamforming;primal-dual method of multipliers;optimal beamforming;fusion-center-based scheme;computational complexity;communication overhead;low-footprint optimization approach;convergence time reduction;distributed beamforming problem;pseudo-coherence-based beamforming;minimum variance distortionless response beamformer;iteration algorithm;noise suppression;interference suppression;array performance;speech enhancement;Array signal processing;Optimization;Microphone arrays;Ad hoc networks;Signal processing algorithms;Speech enhancement;ad hoc microphone array;distributed beamforming;primal-dual method of multipliers},
  doi = {10.1109/EUSIPCO.2016.7760416},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570256167.pdf},
}

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G."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["V.","M."],"propositions":[],"lastnames":["Tavakoli"],"suffixes":[]},{"firstnames":["J.","R."],"propositions":[],"lastnames":["Jensen"],"suffixes":[]},{"firstnames":["R."],"propositions":[],"lastnames":["Heusdens"],"suffixes":[]},{"firstnames":["J."],"propositions":[],"lastnames":["Benesty"],"suffixes":[]},{"firstnames":["M.","G."],"propositions":[],"lastnames":["Christensen"],"suffixes":[]}],"booktitle":"2016 24th European Signal Processing Conference (EUSIPCO)","title":"Ad hoc microphone array beamforming using the primal-dual method of multipliers","year":"2016","pages":"1088-1092","abstract":"In the recent years, there have been an increasing amount of researches aiming at optimal beamforming with ad hoc microphone arrays, mostly fusion-center-based schemes. However, huge computational complexities and communication overheads impede many of these algorithms from being useful in practice. In this paper, we propose a low-footprint optimization approach to reduce the convergence time and overheads for the distributed beamforming problem. We transcribe the pseudo-coherence-based beamforming which is insightful for taking into account the nature of speech. We formulate the distributed minimum variance distortionless response beamformer using the primal-dual method of multipliers. Our experiments confirm the fast convergence using the proposed distributed algorithm. 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M. Tavakoli and J. R. Jensen and R. Heusdens and J. Benesty and M. G. Christensen},\n booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},\n title = {Ad hoc microphone array beamforming using the primal-dual method of multipliers},\n year = {2016},\n pages = {1088-1092},\n abstract = {In the recent years, there have been an increasing amount of researches aiming at optimal beamforming with ad hoc microphone arrays, mostly fusion-center-based schemes. However, huge computational complexities and communication overheads impede many of these algorithms from being useful in practice. In this paper, we propose a low-footprint optimization approach to reduce the convergence time and overheads for the distributed beamforming problem. We transcribe the pseudo-coherence-based beamforming which is insightful for taking into account the nature of speech. 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