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
-
Researchers
Toshiaki
Koike-Akino
Philip V.
Orlik
Kieran
Parsons
Pu
(Perry)
Wang
Ye
Wang
Karl
Berntorp
Petros T.
Boufounos
Hassan
Mansour
Bingnan
Wang
Stefano
Di Cairano
Jianlin
Guo
Yebin
Wang
Dehong
Liu
Wataru
Tsujita
Koon Hoo
Teo
Mouhacine
Benosman
Marcus
Greiff
Yanting
Ma
Matthew
Brand
Devesh K.
Jha
Chungwei
Lin
Hongbo
Sun
Jinyun
Zhang
Marcel
Menner
Ankush
Chakrabarty
Anthony
Vetro
Suhas
Lohit
Tim K.
Marks
Rien
Quirynen
Joshua
Rapp
Avishai
Weiss
William S.
Yerazunis
Jose
Amaya
Vedang M.
Deshpande
Abraham
Goldsmith
Jonathan
Le Roux
Huifang
Sun
Anantaram
Varatharajan
Abraham P.
Vinod
Jing
Liu
-
Awards
-
AWARD Best Paper Award of 2022 IPSJ Transactions on Consumer Devices & Systems Date: March 27, 2023
Awarded to: Yukimasa Nagai, Takenori Sumi, Jianlin Guo, Philip Orlik, Hiroshi Mineno
MERL Contacts: Jianlin Guo; Philip V. Orlik; Kieran Parsons
Research Areas: Communications, Signal ProcessingBrief- MELCO/MERL research paper “IEEE 802.19.3 Standardization for Coexistence of IEEE 802.11ah and IEEE 802.15.4g Systems in Sub-1GHz Frequency Bands” has won the Best Paper Award of the 2022 IPSJ Transactions on Consumer Devices and Systems. The Information Processing Society of Japan (IPSJ) award was established in 1970 and is conferred on the authors of particularly excellent papers, which are published in the IPSJ journals and transactions. Our paper was published by the IPSJ Transaction on Consumer Device and System Vol. 29 in 2021 and authors are Yukimasa Nagai, Takenori Sumi, Jianlin Guo, Philip Orlik and Hiroshi Mineno.
-
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.
-
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.”
See All Awards for Signal Processing -
-
News & Events
-
NEWS MERL researchers presented four papers and organized a special session at The 14th IEEE International Electric Machines and Drives Conference Date: May 15, 2023 - May 18, 2023
Where: San Francisco, CA
MERL Contacts: Dehong Liu; Yusuke Sakamoto; Anantaram Varatharajan; Bingnan Wang
Research Areas: Applied Physics, Control, Electric Systems, Machine Learning, Optimization, Signal ProcessingBrief- MERL researchers Yusuke Sakamoto, Anantaram Varatharajan, and
Bingnan Wang presented four papers at IEMDC 2023 held May 15-18 in San Francisco, CA. The topics of the four oral presentations range from electric machine design optimization, to fault detection and sensorless control. Bingnan Wang organized a special session at the conference entitled: Learning-based Electric Machine Design and Optimization. Bingnan Wang and Yusuke Sakamoto together chaired the special session, as well as a session on: Condition Monitoring, Fault Diagnosis and Prognosis.
The 14th IEEE International Electric Machines and Drives Conference: IEMDC 2023, is one of the major conferences in the area of electric machines and drives. The conference was established in 1997 and has taken place every two years thereafter.
- MERL researchers Yusuke Sakamoto, Anantaram Varatharajan, and
-
EVENT MERL Contributes to ICASSP 2023 Date: Sunday, June 4, 2023 - Saturday, June 10, 2023
Location: Rhodes Island, Greece
MERL Contacts: Petros T. Boufounos; Francois Germain; Toshiaki Koike-Akino; Jonathan Le Roux; Dehong Liu; Suhas Lohit; Yanting Ma; Hassan Mansour; Joshua Rapp; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern
Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Signal Processing, Speech & AudioBrief- MERL has made numerous contributions to both the organization and technical program of ICASSP 2023, which is being held in Rhodes Island, Greece from June 4-10, 2023.
Organization
Petros Boufounos is serving as General Co-Chair of the conference this year, where he has been involved in all aspects of conference planning and execution.
Perry Wang is the organizer of a special session on Radar-Assisted Perception (RAP), which will be held on Wednesday, June 7. The session will feature talks on signal processing and deep learning for radar perception, pose estimation, and mutual interference mitigation with speakers from both academia (Carnegie Mellon University, Virginia Tech, University of Illinois Urbana-Champaign) and industry (Mitsubishi Electric, Bosch, Waveye).
Anthony Vetro is the co-organizer of the Workshop on Signal Processing for Autonomous Systems (SPAS), which will be held on Monday, June 5, and feature invited talks from leaders in both academia and industry on timely topics related to autonomous systems.
Sponsorship
MERL is proud to be a Silver Patron of the conference and will participate in the student job fair on Thursday, June 8. Please join this session to learn more about employment opportunities at MERL, including openings for research scientists, post-docs, and interns.
MERL is pleased to be the sponsor of two IEEE Awards that will be presented at the conference. We congratulate Prof. Rabab Ward, the recipient of the 2023 IEEE Fourier Award for Signal Processing, and Prof. Alexander Waibel, the recipient of the 2023 IEEE James L. Flanagan Speech and Audio Processing Award.
Technical Program
MERL is presenting 13 papers in the main conference on a wide range of topics including source separation and speech enhancement, radar imaging, depth estimation, motor fault detection, time series recovery, and point clouds. One workshop paper has also been accepted for presentation on self-supervised music source separation.
Perry Wang has been invited to give a keynote talk on Wi-Fi sensing and related standards activities at the Workshop on Integrated Sensing and Communications (ISAC), which will be held on Sunday, June 4.
Additionally, Anthony Vetro will present a Perspective Talk on Physics-Grounded Machine Learning, which is scheduled for Thursday, June 8.
About ICASSP
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 has made numerous contributions to both the organization and technical program of ICASSP 2023, which is being held in Rhodes Island, Greece from June 4-10, 2023.
See All News & Events for Signal Processing -
-
Research Highlights
-
Internships
-
ST1763: Technologies for Multimodal Tracking and 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 FMCW radar and/or depth sensing, and be fluent in Python and scripting methods. Familiarity with optical tracking of humans and experience with hardware prototyping is desired. Good knowledge of computational imaging and/or radar imaging methods is a plus.
-
CA1944: Vehicle Estimation and Learning
MERL is seeking a highly motivated and qualified intern to collaborate with the Control for Autonomy team in research on GNSS-based estimation and sensor fusion algorithms. The ideal candidate is expected to be working towards a PhD with strong emphasis in statistical signal processing and estimation, and with experience in at least some of the following areas: application and theory of Bayesian inference, learning, Kalman filters, variational Bayes, automotive, autonomous vehicles, distributed estimation, large-scale estimation, sensor fusion including camera radar and/or GNSS. Good programming skills in MATLAB, Python, or C/C++ are required. The expected duration of the internship is 3-6 months.
-
EA1891: Electric machine monitoring technologies
MERL is looking for a self-motivated intern to work on electric machine monitoring, fault detection, and predictive maintenance. The ideal candidate would be a Ph.D. candidate in electrical engineering or computer science with solid research background in electric machines, signal processing, and machine learning. Proficiency in MATLAB and Simulink is necessary. The intern is expected to collaborate with MERL researchers to perform simulations, analyze experimental data, and prepare manuscripts for scientific publications. The total duration is anticipated to be 3 months and the start date is flexible. This internship requires work that can only be done at MERL.
See All Internships for Signal Processing -
-
Recent Publications
- , "Spectrum Sharing-inspired Safe Motion Planning", IEEE International Conference on Communications Workshops (ICC), May 2023.BibTeX TR2023-049 PDF
- @inproceedings{Kim2023may2,
- author = {Kim, Kyeong Jin and Vinod, Abraham P. and Guo, Jianlin and Deshpande, Vedang M. and Parsons, Kieran},
- title = {Spectrum Sharing-inspired Safe Motion Planning},
- booktitle = {IEEE International Conference on Communications Workshops (ICC)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-049}
- }
- , "Broken-bar Fault Detection by Injecting a Frequency Modulated Continuous Wave Signal", IEEE International Electric Machines and Drives Conference (IEMDC), May 2023.BibTeX TR2023-039 PDF
- @inproceedings{Liu2023may,
- author = {Liu, Dehong and Varatharajan, Anantaram and Goldsmith, Abraham and Kong, Chuizheng and Sigatapu, Laxman and Wang, Yebin},
- title = {Broken-bar Fault Detection by Injecting a Frequency Modulated Continuous Wave Signal},
- booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-039}
- }
- , "Bayesian Optimization for Nested Adversarial Variational Autoencoder in Tunable Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO), May 2023.BibTeX TR2023-036 PDF
- @inproceedings{Koike-Akino2023may,
- author = {Koike-Akino, Toshiaki and Jung, Minwoo and Chakrabarty, Ankush and Wang, Ye and Kojima, Keisuke and Brand, Matthew},
- title = {Bayesian Optimization for Nested Adversarial Variational Autoencoder in Tunable Nanophotonic Device Design},
- booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-036}
- }
- , "Deep Proximal Gradient Method for Learned Convex Regularizers", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2023.BibTeX TR2023-032 PDF
- @inproceedings{Berk2023may,
- author = {Berk, Aaron and Ma, Yanting and Boufounos, Petros T. and Wang, Pu and Mansour, Hassan},
- title = {Deep Proximal Gradient Method for Learned Convex Regularizers},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-032}
- }
- , "Soft 2D-to-3D Delivery Using Deep Graph Neural Networks for Holographic-Type Communication", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2023.BibTeX TR2023-031 PDF
- @inproceedings{Fujihashi2023may,
- author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
- title = {Soft 2D-to-3D Delivery Using Deep Graph Neural Networks for Holographic-Type Communication},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-031}
- }
- , "Spatial-Domain Object Detection Under MIMO-FMCW Automotive Radar Interference", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2023.BibTeX TR2023-027 PDF
- @inproceedings{Jin2023may,
- author = {Jin, Sian and Wang, Pu and Boufounos, Petros T. and Takahashi, Ryuhei and Roy, Sumit},
- title = {Spatial-Domain Object Detection Under MIMO-FMCW Automotive Radar Interference},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-027}
- }
- , "Sparsity-driven Joint Blind Deconvolution-demodulation with Application to Motor Fault Detection", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2023.BibTeX TR2023-026 PDF
- @inproceedings{Kelkar2023may,
- author = {Kelkar, Varun A. and Liu, Dehong and Inoue, Hiroshi and Kanemaru, Makoto},
- title = {Sparsity-driven Joint Blind Deconvolution-demodulation with Application to Motor Fault Detection},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-026}
- }
- , "Phase Unwrapping in Correlated Noise for FMCW LIDAR Depth Estimation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2023.BibTeX TR2023-028 PDF
- @inproceedings{Ulvog2023may,
- author = {Ulvog, Alfred and Rapp, Joshua and Koike-Akino, Toshiaki and Mansour, Hassan and Boufounos, Petros T. and Parsons, Kieran},
- title = {Phase Unwrapping in Correlated Noise for FMCW LIDAR Depth Estimation},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-028}
- }
- , "Spectrum Sharing-inspired Safe Motion Planning", IEEE International Conference on Communications Workshops (ICC), May 2023.
-
Videos
-
Toshiaki Koike-Akino Gives Seminar Talk at IEEE Boston Photonics
-
[MERL Seminar Series 2021] Deep probabilistic regression
-
[MERL Seminar Series 2021] Reconfigurable Intelligent Surfaces for Wireless Communications
-
Application of Deep Learning for Nanophotonic Device Design (Invited)
-
Multiview Sensing with Unknown Permutations: An Optimal Transport Approach
-
Imaging for inverse scattering in Reflection Tomography
-
All Digital Transmitter
-
Machine Learning Power Amplifier
-
Polar Coding with Chemical Reaction Networks for Molecular Communications
-
EMI reduction in PWM inverters using adaptive frequency modulated carriers
-
Through-the-Wall Imaging
-
-
Downloads
