Signal Processing
Acquisition and processing of information.
Our research in the area of signal processing encompasses a wide range of work in the areas of communications, sensing, estimation, localization, and speech and visual information processing. We explore novel approaches for signal acquisition and coding, methods to filter and recover signals in the presence of noise and other degrading factors, and techniques that infer meaning from the processed signals.
Quick Links
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Researchers
Toshiaki
Koike-Akino
Philip V.
Orlik
Kieran
Parsons
Pu
(Perry)
WangYe
Wang
Kyeong Jin
(K.J.)
KimKarl
Berntorp
Petros T.
Boufounos
Hassan
Mansour
Rui
Ma
Bingnan
Wang
Yebin
Wang
Jianlin
Guo
Stefano
Di Cairano
Dehong
Liu
Koon Hoo
Teo
Mouhacine
Benosman
Alan
Sullivan
Marcus
Greiff
Devesh K.
Jha
Chungwei
Lin
Hongbo
Sun
Jinyun
Zhang
Yanting
Ma
Anthony
Vetro
Ankush
Chakrabarty
Tim K.
Marks
Rien
Quirynen
Avishai
Weiss
William S.
Yerazunis
Jose
Amaya
Matthew E.
Brand
Jonathan
Le Roux
Suhas
Lohit
Marcel
Menner
Huifang
Sun
Jay
Thornton
Joshua
Rapp
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Awards
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AWARD Joshua Rapp wins Best Dissertation Award from the IEEE Signal Processing Society Date: December 20, 2021
Awarded to: Joshua Rapp
MERL Contact: Joshua Rapp
Research Areas: Computational Sensing, Signal ProcessingBrief- Joshua Rapp has won the 2021 Best PhD Dissertation Award from the IEEE Signal Processing Society.
The award recognizes a PhD thesis completed on a signal processing subject within the past three years for its relevant work in signal processing while stimulating further research in the field.
Dr. Rapp completed his PhD at Boston University in 2020 with a thesis entitled "Probabilistic Modeling for Single-Photon Lidar." The dissertation tackles challenges of the acquisition and processing of 3D depth maps reconstructed from time-of-flight data captured one photon at a time.
The award will be presented at the 2022 IEEE International Conference on Image Processing (ICIP) in France.
- Joshua Rapp has won the 2021 Best PhD Dissertation Award from the IEEE Signal Processing Society.
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AWARD Petros Boufounos Elevated to IEEE Fellow Date: January 1, 2022
Awarded to: Petros T. Boufounos
MERL Contact: Petros T. Boufounos
Research Areas: Computational Sensing, Signal ProcessingBrief- MERL’s Petros Boufounos has been elevated to IEEE Fellow, effective January 2022, for “contributions to compressed sensing.”
IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society. Each year, following a rigorous evaluation procedure, the IEEE Fellow Committee recommends a select group of recipients for elevation to IEEE Fellow. Less than 0.1% of voting members are selected annually for this member grade elevation.
- MERL’s Petros Boufounos has been elevated to IEEE Fellow, effective January 2022, for “contributions to compressed sensing.”
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AWARD Toshiaki Koike-Akino elected Fellow of Optica Date: November 18, 2021
Awarded to: Toshiaki Koike-Akino
MERL Contact: Toshiaki Koike-Akino
Research Areas: Communications, Electronic and Photonic Devices, Signal ProcessingBrief- Toshiaki Koike-Akino's research activities in communications, error control coding and optical technologies at MERL have earned him election as a Fellow Member of Optica (formerly OSA), the foremost professional association in optics and photonics worldwide. Fellow membership in Optica is limited to no more than ten percent of the membership and is reserved for members who have served with distinction in the advancement of optics and photonics. Koike-Akino is one of 106 members from 24 countries in Optica’s 2022 Fellows Class, elected during the Board of Directors of Optica meeting held on 2nd of November, 2021.
“Congratulations to the 2022 Optica Fellows,” said 2021 President Connie Chang-Hasnain, University of California, Berkeley, USA. “These members exemplify what it means to be a leader in optics and photonics. Your election, by your peers, confirms the important contributions made within our field. Thank you for your dedication to Optica, and for advancing the science of light.”
Koike-Akino's elevation to Fellow is specifically “for outstanding and innovative contributions to R&D in enabling technologies for optical communications, including nonlinear equalizers, high-dimensional modulations, and FEC (Forward Error Correction),” said Meredith Smith, Director, Optica Awards and Honors Office. "Again, congratulations on joining this esteemed group of Optica members."
About Optica
Optica (formerly OSA) is dedicated to promoting the generation, application, archiving and dissemination of knowledge in optics and photonics worldwide. Founded in 1916, it is the leading organization for scientists, engineers, business professionals, students and others interested in the science of light. Optica’s renowned publications, meetings, online resources and in-person activities fuel discoveries, shape real-life applications and accelerate scientific, technical and educational achievement.
- Toshiaki Koike-Akino's research activities in communications, error control coding and optical technologies at MERL have earned him election as a Fellow Member of Optica (formerly OSA), the foremost professional association in optics and photonics worldwide. Fellow membership in Optica is limited to no more than ten percent of the membership and is reserved for members who have served with distinction in the advancement of optics and photonics. Koike-Akino is one of 106 members from 24 countries in Optica’s 2022 Fellows Class, elected during the Board of Directors of Optica meeting held on 2nd of November, 2021.
See All Awards for Signal Processing -
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News & Events
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NEWS MERL presenting 8 papers at ICASSP 2022 Date: May 22, 2022 - May 27, 2022
Where: Singapore
MERL Contacts: Anoop Cherian; Chiori Hori; Toshiaki Koike-Akino; Jonathan Le Roux; Tim K. Marks; Philip V. Orlik; Kuan-Chuan Peng; Pu (Perry) Wang; Gordon Wichern
Research Areas: Artificial Intelligence, Computer Vision, Signal Processing, Speech & AudioBrief- MERL researchers are presenting 8 papers at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which is being held in Singapore from May 22-27, 2022. A week of virtual presentations also took place earlier this month.
Topics to be presented include recent advances in speech recognition, audio processing, scene understanding, computational sensing, and classification.
ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
- MERL researchers are presenting 8 papers at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which is being held in Singapore from May 22-27, 2022. A week of virtual presentations also took place earlier this month.
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NEWS MERL Scientists Presenting 5 Papers at IEEE International Conference on Communications (ICC) 2022 Date: May 16, 2022 - May 20, 2022
Where: Seoul, Korea
MERL Contacts: Jianlin Guo; Kyeong Jin (K.J.) Kim; Toshiaki Koike-Akino; Philip V. Orlik; Kieran Parsons; Pu (Perry) Wang; Ye Wang
Research Areas: Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Machine Learning, Signal ProcessingBrief- MERL Connectivity & Information Processing Team scientists remotely presented 5 papers at the IEEE International Conference on Communications (ICC) 2022, held in Seoul Korea on May 16-20, 2022. Topics presented include recent advancements in communications technologies, deep learning methods, and quantum machine learning (QML). Presentation videos are also found on our YouTube channel. In addition, K. J. Kim organized "Industrial Private 5G-and-beyond Wireless Networks Workshop" at the conference.
IEEE ICC is one of two IEEE Communications Society’s flagship conferences (ICC and Globecom). Each year, close to 2,000 attendees from over 70 countries attend IEEE ICC to take advantage of a program which consists of exciting keynote session, robust technical paper sessions, innovative tutorials and workshops, and engaging industry sessions. This 5-day event is known for bringing together audiences from both industry and academia to learn about the latest research and innovations in communications and networking technology, share ideas and best practices, and collaborate on future projects.
- MERL Connectivity & Information Processing Team scientists remotely presented 5 papers at the IEEE International Conference on Communications (ICC) 2022, held in Seoul Korea on May 16-20, 2022. Topics presented include recent advancements in communications technologies, deep learning methods, and quantum machine learning (QML). Presentation videos are also found on our YouTube channel. In addition, K. J. Kim organized "Industrial Private 5G-and-beyond Wireless Networks Workshop" at the conference.
See All News & Events for Signal Processing -
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Research Highlights
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Internships
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MD1757: ML based Digital Pre-distortion (DPD) for PA
MERL is looking for a talented intern to work on the next generation Digital-predistortion algorithms for power amplifier linearization such as 5G. The development of a DPD system involves aspects of signal processing and statistical algorithm design, RF components and instrumentation, digital hardware and software. It is therefore both a challenging and intellectually rewarding experience. This will involve MATLAB coding, interfacing to test equipment such as power sources, signal generators and analyzers and construction and calibration of RF component assemblies. The ideal candidate should have knowledge and experience in adaptive signal processing, machine learning, and radio communication. Good practical laboratory skills are needed. RF semiconductor devices and circuit knowledge is a plus. Duration is 3 to 6 months.
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CA1706: Perception-aware vehicle control
MERL is seeking a highly motivated and qualified intern to collaborate with the Control for Autonomy team in research on planning and control algorithms accounting for perception of the uncertain surrounding environment. The ideal candidate is expected to be working towards a PhD with strong emphasis in control or planning algorithms, and to have interest and background in as many as possible of: predictive control algorithms for linear and nonlinear systems, stochastic constrained control, e.g., chance constraints, stochastic optimization, statistical estimation, perception system modeling, and vehicle modeling and control. Good programming skills in MATLAB, Python or C/C++ are required. The expected start of of the internship is in the late Spring/Early Summer 2022, for a duration of 3-6 months.
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CA1726: Distributed Estimation for Autonomous Systems
MERL is seeking a highly motivated and qualified intern to collaborate with the Control for Autonomy team in developing estimation methods with applications to multi-vehicle positioning. The ideal candidate is a PhD candidate with strong emphasis in estimation and control, and as interest and background in several of: bayesian inference, machine learning, maximum-likelihood estimation, optimization, distributed systems, and vehicle modeling and control. Good programming skills in MATLAB, Python, or C/C++ are required. The expected start of of the internship is in 2022 and flexible for a duration of 3-6 months.
See All Internships for Signal Processing -
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Openings
See All Openings at MERL -
Recent Publications
- "Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems", IEEE International Conference on Communications (ICC), May 2022.BibTeX TR2022-052 PDF Video Presentation
- @inproceedings{Liu2022may3,
- author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
- title = {Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems},
- booktitle = {IEEE International Conference on Communications (ICC)},
- year = 2022,
- month = may,
- url = {https://www.merl.com/publications/TR2022-052}
- }
, - "Semi-Persistent Scheduling Scheme for Low-Latency and High-Reliability Transmissions in Private 5G Networks", IEEE International Conference on Communications Workshops (ICC), May 2022.BibTeX TR2022-050 PDF
- @inproceedings{song2022may,
- author = {song, Hao and Kim, Kyeong Jin and Guo, Jianlin and Orlik, Philip V. and Parsons, Kieran},
- title = {Semi-Persistent Scheduling Scheme for Low-Latency and High-Reliability Transmissions in Private 5G Networks},
- booktitle = {IEEE International Conference on Communications Workshops (ICC)},
- year = 2022,
- month = may,
- url = {https://www.merl.com/publications/TR2022-050}
- }
, - "Quantum Transfer Learning for Wi-Fi Sensing", IEEE International Conference on Communications (ICC), May 2022.BibTeX TR2022-044 PDF Video Presentation
- @inproceedings{Koike-Akino2022may2,
- author = {Koike-Akino, Toshiaki and Pu, Wang and Wang, Ye},
- title = {Quantum Transfer Learning for Wi-Fi Sensing},
- booktitle = {IEEE International Conference on Communications (ICC)},
- year = 2022,
- month = may,
- url = {https://www.merl.com/publications/TR2022-044}
- }
, - "Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices", Conference on Lasers and Electro-Optics (CLEO), May 2022.BibTeX TR2022-047 PDF Video Presentation
- @inproceedings{Jung2022may,
- author = {Jung, Minwoo and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Zhu, Dayu and Brand, Matthew E.},
- title = {Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices},
- booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
- year = 2022,
- month = may,
- url = {https://www.merl.com/publications/TR2022-047}
- }
, - "AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO), May 2022.BibTeX TR2022-046 PDF Presentation
- @inproceedings{Koike-Akino2022may3,
- author = {Koike-Akino, Toshiaki and Kojima, Keisuke and Wang, Ye},
- title = {AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design},
- booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
- year = 2022,
- month = may,
- url = {https://www.merl.com/publications/TR2022-046}
- }
, - "Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems", IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, May 2022.BibTeX TR2022-043 PDF
- @article{Ma2022may,
- author = {Ma, Yehan and Guo, Jianlin and Wang, Yebin and Chakrabarty, Ankush and Ahn, Heejin and Orlik, Philip V. and Guan, Xinping and Lu, Chenyang},
- title = {Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems},
- journal = {IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY},
- year = 2022,
- month = may,
- url = {https://www.merl.com/publications/TR2022-043}
- }
, - "Multi-Modal Recurrent Fusion for Indoor Localization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP43922.2022.9746071, April 2022.BibTeX TR2022-018 PDF
- @inproceedings{Yu2022apr,
- author = {Yu, Jianyuan and Pu, Wang and Koike-Akino, Toshiaki and Orlik, Philip V.},
- title = {Multi-Modal Recurrent Fusion for Indoor Localization},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2022,
- month = apr,
- publisher = {IEEE},
- doi = {10.1109/ICASSP43922.2022.9746071},
- issn = {2379-190X},
- isbn = {978-1-6654-0540-9},
- url = {https://www.merl.com/publications/TR2022-018}
- }
, - "Sub-1 GHz Frequency Band Wireless Coexistence for the Internet of Things", IEEE Access, March 2022.BibTeX TR2022-037 PDF
- @article{Nagai2022mar,
- author = {Nagai, Yukimasa and Guo, Jianlin and Sumi, Takenori and Orlik, Philip V. and Rolfe, Benjamin A. and Mineno, Hiroshi},
- title = {Sub-1 GHz Frequency Band Wireless Coexistence for the Internet of Things},
- journal = {IEEE Access},
- year = 2022,
- month = mar,
- url = {https://www.merl.com/publications/TR2022-037}
- }
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- "Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems", IEEE International Conference on Communications (ICC), May 2022.
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Videos
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Toshiaki Koike-Akino Gives Seminar Talk at IEEE Boston Photonics
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[MERL Seminar Series 2021] Deep probabilistic regression
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[MERL Seminar Series 2021] Reconfigurable Intelligent Surfaces for Wireless Communications
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Application of Deep Learning for Nanophotonic Device Design (Invited)
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Multiview Sensing with Unknown Permutations: An Optimal Transport Approach
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Imaging for inverse scattering in Reflection Tomography
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All Digital Transmitter
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Machine Learning Power Amplifier
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Polar Coding with Chemical Reaction Networks for Molecular Communications
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EMI reduction in PWM inverters using adaptive frequency modulated carriers
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Through-the-Wall Imaging
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Software Downloads