Computational Sensing
Utilizing computation to improve sensing capabilities.
Our research in the area of computational sensing focuses on signal acquisition and design, signal modeling and reconstruction algorithms, including inverse problems, as well as array signal processing techniques.
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Researchers
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Awards
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AWARD 2015 IEEE Signal Processing Society Best Paper Award Date: December 1, 2015
Awarded to: Mark A. Davenport, Petros T. Boufounos, Michael B. Wakin and Richard G. Baraniuk
MERL Contact: Petros Boufounos
Research Area: Computational SensingBrief- Petros Boufounos is a recipient of the 2015 IEEE Signal Processing Society Best Paper Award for the paper that he co-authored with Mark A. Davenport, Michael B. Wakin and Richard G. Baraniuk on "Signal Processing with Compressive Measurements" which was published in the April 2010 issue of IEEE Journal of Selected Topics in Signal Processing. The Best Paper Award honors the author(s) of a paper of exceptional merit dealing with a subject related to the Society's technical scope, and appearing in one of the Society's solely owned transactions or the Journal of Selected Topics in Signal Processing. Eligibility is based on a five-year window: for example, for the 2015 Award, the paper must have appeared in one of the Society's Transactions between January 1, 2010 and December 31, 2014.
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- Petros Boufounos is a recipient of the 2015 IEEE Signal Processing Society Best Paper Award for the paper that he co-authored with Mark A. Davenport, Michael B. Wakin and Richard G. Baraniuk on "Signal Processing with Compressive Measurements" which was published in the April 2010 issue of IEEE Journal of Selected Topics in Signal Processing. The Best Paper Award honors the author(s) of a paper of exceptional merit dealing with a subject related to the Society's technical scope, and appearing in one of the Society's solely owned transactions or the Journal of Selected Topics in Signal Processing. Eligibility is based on a five-year window: for example, for the 2015 Award, the paper must have appeared in one of the Society's Transactions between January 1, 2010 and December 31, 2014.
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AWARD GRSS 2014 Symposium Prize Paper Award Date: May 1, 2014
Awarded to: Dehong Liu and Petros T. Boufounos
Awarded for: "Synthetic Aperture Imaging Using a Randomly Steered Spotlight"
Awarded by: IEEE Geoscience and Remote Sensing Society (GRSS)
MERL Contacts: Dehong Liu; Petros Boufounos
Research Area: Computational SensingBrief- Dehong Liu and Petros T. Boufounos are the recipients of the the IEEE Geoscience and Remote Sensing Society 2014 Symposium Prize Paper Award for their paper "Synthetic Aperture Imaging Using a Randomly Steered Spotlight," presented at IGARSS 2013 (TR2013-070).
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AWARD MMSP 2012 Top 10% Paper Award Date: September 1, 2012
Awarded to: Mu Li, Shantanu Rane and Petros Boufounos
Awarded for: "Quantized Embeddings of Scale-Invariant Image Features for Mobile Augmented Reality"
Awarded by: IEEE International Workshop on Multimedia Signal Processing (MMSP)
MERL Contact: Petros Boufounos
Research Areas: Digital Video, Computational Sensing
See All Awards for MERL -
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News & Events
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NEWS MERL published four papers in 2020 IEEE Global Communications Conference Date: December 7, 2020 - December 11, 2020
Where: Taipei, Taiwan
MERL Contacts: Kyeong Jin (K.J.) Kim; Toshiaki Koike-Akino; Philip Orlik; Pu (Perry) Wang; Ye Wang
Research Areas: Communications, Computational Sensing, Machine Learning, Signal ProcessingBrief- MERL researchers have published four papers in 2020 IEEE Global Communications Conference (GlobeComm). This conference is one of the two IEEE Communications Societies flagship conferences dedicated to Communications for Human and Machine Intelligence. Topics of the published papers include, transmit diversity schemes, coding for molecular networks, and location and human activity sensing via WiFi signals.
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EVENT MERL Virtual Open House 2020 Date & Time: Wednesday, December 9, 2020; 1:00-5:00PM EST
MERL Contacts: Elizabeth Phillips; Jeroen van Baar; Anthony Vetro
Location: Virtual
Research Areas: Applied Physics, Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Control, Data Analytics, Dynamical Systems, Electric Systems, Electronic and Photonic Devices, Machine Learning, Multi-Physical Modeling, Optimization, Robotics, Signal Processing, Speech & AudioBrief- MERL will host a virtual open house on December 9, 2020. Live sessions will be held from 1-5pm EST, including an overview of recent activities by our research groups and a talk by Prof. Pierre Moulin of University of Illinois at Urbana-Champaign on adversarial machine learning. Registered attendees will also be able to browse our virtual booths at their convenience and connect with our research staff on engagement opportunities including internship, post-doc and research scientist openings, as well as visiting faculty positions.
Registration: https://mailchi.mp/merl/merl-virtual-open-house-2020
Schedule: https://www.merl.com/events/voh20
Current internship and employment openings:
https://www.merl.com/internship/openings
https://www.merl.com/employment/employment
Information about working at MERL:
https://www.merl.com/employment
- MERL will host a virtual open house on December 9, 2020. Live sessions will be held from 1-5pm EST, including an overview of recent activities by our research groups and a talk by Prof. Pierre Moulin of University of Illinois at Urbana-Champaign on adversarial machine learning. Registered attendees will also be able to browse our virtual booths at their convenience and connect with our research staff on engagement opportunities including internship, post-doc and research scientist openings, as well as visiting faculty positions.
See All News & Events for Computational Sensing -
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Research Highlights
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Internships
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SP1543: Technologies for multimodal imaging
MERL is seeking a motivated intern to assist in developing hardware and algorithms for multimodal imaging applications. The project involves integration of radar, camera, and depth sensors in a variety of sensing scenarios. The ideal candidate should have experience with hardware interfacing, C++, Python, and scripting methods. Experience with radar prototyping hardware is desired but not necessary. Good knowledge of computational imaging and/or radar imaging methods is a plus. This internship requires work that can only be done at MERL.
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SP1512: Mutual Interference Mitigation
The Signal Processing (SP) group at MERL is seeking a highly motivated intern to conduct fundamental research in mutual interference mitigation for automotive radar. Previous experience in waveform design, radar detection under interference, joint communication and sensing, interference mitigation, and deep learning for radar is highly preferred. Knowledge about automotive radar schemes (MIMO and waveform modulation, e.g., FMCW, PMCW, and OFDM) is a plus. The intern will collaborate with a small group of MERL researchers to develop novel algorithms, design experiments using MERL in-house testbed, and prepare results for patents and publication. Senior Ph.D. students with research focuses on signal processing, machine learning, optimization, applied mathematics, or related areas are encouraged to apply. The expected duration of the internship is 3 months with a flexible start date.
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SP1504: Coherent Imaging Systems
MERL is seeking an intern to work on coherent optical imaging. The ideal candidate would be an experienced PhD student or post-graduate researcher working in coherent imaging. The candidate should have a detailed knowledge of optical interferometry and imaging with a focus on either optical coherence tomography, optical coherence microscopy or FMCW LIDAR. Strong programming skills in MATLAB are essential. Experience of working in an optical lab environment is a required. Duration is 3 to 6 months. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.
See All Internships for Computational Sensing -
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Openings
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Recent Publications
- , "High-Contrast Reflection Tomography with Total-Variation Constraints", IEEE Transactions on Computational Imaging, March 2021.BibTeX TR2021-013 PDF
- @article{Kadu2021mar,
- author = {Kadu, Ajinkya and Mansour, Hassan and Boufounos, Petros T.},
- title = {High-Contrast Reflection Tomography with Total-Variation Constraints},
- journal = {IEEE Transactions on Computational Imaging},
- year = 2021,
- month = mar,
- url = {https://www.merl.com/publications/TR2021-013}
- }
- , "Learning-based Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar", IEEE Journal of Selected Topics in Signal Processing, February 2021.BibTeX TR2021-006 PDF
- @article{Xia2021feb,
- author = {Xia, Yuxuan and Wang, Pu and Berntorp, Karl and Svensson, Lennart and Granstrom, Karl and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V.},
- title = {Learning-based Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar},
- journal = {IEEE Journal of Selected Topics in Signal Processing},
- year = 2021,
- month = feb,
- url = {https://www.merl.com/publications/TR2021-006}
- }
- , "Recovery Analysis of Damped Spectrally Sparse Signals and Its Relation to MUSIC", Information and Inference: A Journal of the IMA, January 2021.BibTeX TR2021-008 PDF
- @article{Li2021jan,
- author = {Li, Shuang and Mansour, Hassan and Wakin, Michael},
- title = {Recovery Analysis of Damped Spectrally Sparse Signals and Its Relation to MUSIC},
- journal = {Information and Inference: A Journal of the IMA},
- year = 2021,
- month = jan,
- url = {https://www.merl.com/publications/TR2021-008}
- }
- , "Distributed Coding of Quantized Random Projections", IEEE Transactions on Signal Processing, DOI: 10.1109/TSP.2020.3029499, Vol. 68, pp. 5924-5939, December 2020.BibTeX TR2020-157 PDF
- @article{Goukhshtein2020dec,
- author = {Goukhshtein, Maxim and Boufounos, Petros T. and Koike-Akino, Toshiaki and Draper, Stark C.},
- title = {Distributed Coding of Quantized Random Projections},
- journal = {IEEE Transactions on Signal Processing},
- year = 2020,
- volume = 68,
- pages = {5924--5939},
- month = dec,
- doi = {10.1109/TSP.2020.3029499},
- issn = {1941-0476},
- url = {https://www.merl.com/publications/TR2020-157}
- }
- , "Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/GCWkshps50303.2020.9367535, December 2020.BibTeX TR2020-158 PDF
- @inproceedings{Yu2020dec,
- author = {Yu, Jianyuan and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V.},
- title = {Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi},
- booktitle = {IEEE Global Communications Conference (GLOBECOM)},
- year = 2020,
- month = dec,
- publisher = {IEEE},
- doi = {10.1109/GCWkshps50303.2020.9367535},
- isbn = {978-1-7281-7307-8},
- url = {https://www.merl.com/publications/TR2020-158}
- }
- , "Terahertz QR Positioning: Experimental Results", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/IRMMW-THz46771.2020.9370971, November 2020.BibTeX TR2020-146 PDF
- @inproceedings{Wang2020nov,
- author = {Wang, Pu and Koike-Akino, Toshiaki and Orlik, Philip V. and Sertel, Kubilay and Yamashita, Genki and Tsujita, Wataru and Tsutada, Hiroyuki},
- title = {Terahertz QR Positioning: Experimental Results},
- booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
- year = 2020,
- month = nov,
- publisher = {IEEE},
- doi = {10.1109/IRMMW-THz46771.2020.9370971},
- issn = {2162-2035},
- isbn = {978-1-7281-6620-9},
- url = {https://www.merl.com/publications/TR2020-146}
- }
- , "Evaluation of Position Error of Terahertz Polarimetric Encoder By Ray-Tracing Method", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/IRMMW-THz46771.2020.9370683, November 2020, pp. 1-2.BibTeX TR2020-145 PDF
- @inproceedings{Yamashita2020nov,
- author = {Yamashita, Genki and Tsujita, Wataru and Tsutada, Hiroyuki and Ma, Rui and Wang, Pu and Orlik, Philip V.},
- title = {Evaluation of Position Error of Terahertz Polarimetric Encoder By Ray-Tracing Method},
- booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
- year = 2020,
- pages = {1--2},
- month = nov,
- doi = {10.1109/IRMMW-THz46771.2020.9370683},
- issn = {2162-2035},
- isbn = {978-1-7281-6621-6},
- url = {https://www.merl.com/publications/TR2020-145}
- }
- , "EMI reduction in PWM inverters using adaptive frequency modulation carriers", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.23919/ICEMS50442.2020.9291046, November 2020.BibTeX TR2020-150 PDF Video
- @inproceedings{Liu2020nov,
- author = {Liu, Dehong and Sugawara, Retsu and Orlik, Philip V.},
- title = {EMI reduction in PWM inverters using adaptive frequency modulation carriers},
- booktitle = {23rd International Conference on Electrical Machines and Systems (ICEMS)},
- year = 2020,
- month = nov,
- publisher = {IEEE},
- doi = {10.23919/ICEMS50442.2020.9291046},
- issn = {2642-5513},
- url = {https://www.merl.com/publications/TR2020-150}
- }
- , "High-Contrast Reflection Tomography with Total-Variation Constraints", IEEE Transactions on Computational Imaging, March 2021.
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Videos
