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)
Wang
Ye
Wang
Petros T.
Boufounos
Hassan
Mansour
Stefano
Di Cairano
Dehong
Liu
Jianlin
Guo
Bingnan
Wang
Yebin
Wang
Joshua
Rapp
Yanting
Ma
Matthew
Brand
Chungwei
Lin
Hongbo
Sun
Jinyun
Zhang
Suhas
Lohit
Tim K.
Marks
Wael H.
Ali
Anthony
Vetro
Avishai
Weiss
Vedang M.
Deshpande
Abraham
Goldsmith
Jonathan
Le Roux
Pedro
Miraldo
Saviz
Mowlavi
Abraham P.
Vinod
William S.
Yerazunis
Anoop
Cherian
Radu
Corcodel
Chiori
Hori
Huifang
Sun
Kenji
Inomata
Jing
Liu
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Awards
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AWARD MERL intern and Researchers wins 2025 IEEE CCTA Best Student Paper Award Date: August 27, 2025
Awarded to: Yingjie Hu (Student, Intern), Karl Berntorp, Stefano Di Cairano (MERL Researchers)
MERL Contact: Stefano Di Cairano
Research Areas: Control, Dynamical Systems, Signal ProcessingBrief- MERL intern Yingjie Hu was recognized as the winner of the 2025 IEEE CCTA Best Student Paper Award for the paper "Optimal Measurement Projection in GNSS-RTK Factor Graph Optimization" written in collaboration with MERL Researchers Karl Berntorp and Stefano Di Cairano during the internship at MERL
The paper develops methods for measurement projections for reducing the computational burden of factor graph optimization algorithms in GNSS applications, thus enabling their use in real-time in a wider range of positioning applications.
The IEEE Conference on Control Technology and Application is the conference of the IEEE Control Systems Society focused on applications and technological advances of control systems
- MERL intern Yingjie Hu was recognized as the winner of the 2025 IEEE CCTA Best Student Paper Award for the paper "Optimal Measurement Projection in GNSS-RTK Factor Graph Optimization" written in collaboration with MERL Researchers Karl Berntorp and Stefano Di Cairano during the internship at MERL
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AWARD Best paper award at PHMAP 2023 Date: September 14, 2023
Awarded to: Dehong Liu, Anantaram Varatharajan, and Abraham Goldsmith
MERL Contacts: Abraham Goldsmith; Dehong Liu
Research Areas: Electric Systems, Signal ProcessingBrief- MERL researchers Dehong Liu, Anantaram Varatharajan, and Abraham Goldsmith were awarded one of three best paper awards at Asia Pacific Conference of the Prognostics and Health Management Society 2023 (PHMAP23) held in Tokyo from September 11th to 14th, 2023, for their co-authored paper titled 'Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors.'
PHMAP is a biennial international conference specialized in prognostics and health management. PHMAP23 attracted more than 300 attendees from worldwide and published more than 160 regular papers from academia and industry including aerospace, production, civil engineering, electronics, and so on.
- MERL researchers Dehong Liu, Anantaram Varatharajan, and Abraham Goldsmith were awarded one of three best paper awards at Asia Pacific Conference of the Prognostics and Health Management Society 2023 (PHMAP23) held in Tokyo from September 11th to 14th, 2023, for their co-authored paper titled 'Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors.'
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AWARD MERL’s Paper on Wi-Fi Sensing Earns Top 3% Paper Recognition at ICASSP 2023, Selected as a Best Student Paper Award Finalist Date: June 9, 2023
Awarded to: Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos and Petar Popovski
MERL Contacts: Petros T. Boufounos; Toshiaki Koike-Akino; Pu (Perry) Wang; Ye Wang
Research Areas: Artificial Intelligence, Communications, Computational Sensing, Dynamical Systems, Machine Learning, Signal ProcessingBrief- A MERL Paper on Wi-Fi sensing was recognized as a Top 3% Paper among all 2709 accepted papers at the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). Co-authored by Cristian Vaca-Rubio and Petar Popovski from Aalborg University, Denmark, and MERL researchers Pu Wang, Toshiaki Koike-Akino, Ye Wang, and Petros Boufounos, the paper "MmWave Wi-Fi Trajectory Estimation with Continous-Time Neural Dynamic Learning" was also a Best Student Paper Award finalist.
Performed during Cristian’s stay at MERL first as a visiting Marie Skłodowska-Curie Fellow and then as a full-time intern in 2022, this work capitalizes on standards-compliant Wi-Fi signals to perform indoor localization and sensing. The paper uses a neural dynamic learning framework to address technical issues such as low sampling rate and irregular sampling intervals.
ICASSP, a flagship conference of the IEEE Signal Processing Society (SPS), was hosted on the Greek island of Rhodes from June 04 to June 10, 2023. ICASSP 2023 marked the largest ICASSP in history, boasting over 4000 participants and 6128 submitted papers, out of which 2709 were accepted.
- A MERL Paper on Wi-Fi sensing was recognized as a Top 3% Paper among all 2709 accepted papers at the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). Co-authored by Cristian Vaca-Rubio and Petar Popovski from Aalborg University, Denmark, and MERL researchers Pu Wang, Toshiaki Koike-Akino, Ye Wang, and Petros Boufounos, the paper "MmWave Wi-Fi Trajectory Estimation with Continous-Time Neural Dynamic Learning" was also a Best Student Paper Award finalist.
See All Awards for Signal Processing -
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News & Events
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EVENT MERL Contributes to ICASSP 2026 Date: Monday, May 4, 2026 - , May 8, 2026
Location: Barcelona, Spain
MERL Contacts: Wael H. Ali; Petros T. Boufounos; Chiori Hori; Jonathan Le Roux; Yanting Ma; Hassan Mansour; Yoshiki Masuyama; Joshua Rapp; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern
Research Areas: Artificial Intelligence, Computational Sensing, Computer Vision, Machine Learning, Optimization, Signal Processing, Speech & AudioBrief- MERL has made numerous contributions to both the organization and technical program of ICASSP 2026, which is being held in Barcelona, Spain from May 4-8, 2026.
Sponsorship
MERL is proud to be a Silver Patron of the conference and will participate in the student job fair on Thursday, May 7. Please join this session to learn more about employment opportunities at MERL, including openings for research scientists, post-docs, and interns. MERL Distinguished Research Scientists Petros T. Boufounos and Jonathan Le Roux will also present a spotlight session on MERL’s research in signal processing on Tuesday, May 5 at 13:05.
MERL is also pleased to be the sponsor of two IEEE Awards that will be presented at the conference. We congratulate Prof. Nasir Ahmed, the recipient of the 2026 IEEE Fourier Award for Signal Processing, and Dr. Alex Acero, the recipient of the 2026 IEEE James L. Flanagan Speech and Audio Processing Award.
Technical Program
MERL is presenting 7 papers in the main conference on a wide range of topics including source separation, spatial audio, neural audio codecs, radar-based pose estimation, camera-based airflow sensing, radar array processing, and optimization. Another paper on neural speech codecs will be presented at the Low-Resource Audio Codec (LRAC) Satellite Workshop. MERL researchers will also present two articles published in IEEE Open Journal of Signal Processing (OJSP) on music source separation and head-related transfer function (HRTF) modeling. Finally, Speech and Audio Team members Yoshiki Masuyama and Jonathan Le Roux co-organized a Special Session on Neural Spatial Audio Processing, which will feature six oral presentations.
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 4000 participants each year.
- MERL has made numerous contributions to both the organization and technical program of ICASSP 2026, which is being held in Barcelona, Spain from May 4-8, 2026.
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NEWS Toshiaki Koike-Akino delivers an invited talk as a panelist at OFC 2026 Date: March 17, 2026
MERL Contact: Toshiaki Koike-Akino
Research Areas: Artificial Intelligence, Communications, Machine Learning, Signal ProcessingBrief- MERL researcher Toshiaki Koike-Akino will serve as a panelist at OFC 2026, the premier global event for optical communications and networking, to be held in Los Angeles, March 15–19.
Dr. Koike-Akino will participate in the special panel session titled “Machine Learning is Taking Over Optical Communications—But Which Algorithms Should We Use?” He will deliver a panel talk titled “Scaling AI with Light: AI Is Taking Over Optics — But Optics May Take Over AI.” His talk will discuss the growing synergy between AI and optical technologies, highlighting the emerging vision of leveraging optical physics not only as an application domain for AI, but also as a platform for scaling future AI systems.
- MERL researcher Toshiaki Koike-Akino will serve as a panelist at OFC 2026, the premier global event for optical communications and networking, to be held in Los Angeles, March 15–19.
See All News & Events for Signal Processing -
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Research Highlights
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Internships
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CI0213: Internship - Efficient Foundation Models for Edge Intelligence
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ST0238: Internship - Multi-Modal Sensing and Understanding
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EA0237: Internship - Condition Monitoring and Fault Diagnosis
See All Internships for Signal Processing -
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Openings
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ST0175: Postdoctoral Research Fellow - Quantum Technologies
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SA0297: Postdoctoral Research Fellow - AI for Science
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CI0177: Postdoctoral Research Fellow - Agentic AI
See All Openings at MERL -
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Recent Publications
- , "Single View Camera-Based Dynamic Airflow Sensing", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2026.BibTeX TR2026-038 PDF
- @inproceedings{Tandi2026may,
- author = {Tandi, Kevin and Ali, Wael H. and Rapp, Joshua and Mansour, Hassan},
- title = {{Single View Camera-Based Dynamic Airflow Sensing}},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2026,
- month = may,
- url = {https://www.merl.com/publications/TR2026-038}
- }
- , "Heatmap-to-SMPL Multi-View Radar Transformer for Multi-Person 3D Pose Estimation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2026.BibTeX TR2026-040 PDF
- @inproceedings{Kato2026may,
- author = {Kato, Sorachi and Wang, Pu and Fujihashi, Takuya and Markham, Andrew},
- title = {{Heatmap-to-SMPL Multi-View Radar Transformer for Multi-Person 3D Pose Estimation}},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2026,
- month = may,
- url = {https://www.merl.com/publications/TR2026-040}
- }
- , "DUAL-REGULARIZED ITERATIVE ADAPTIVE APPROACH FOR DOA SPECTRUM RECONSTRUCTION IN LIMITED ANGLE SECTOR", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2026.BibTeX TR2026-039 PDF
- @inproceedings{Takahashi2026may,
- author = {Takahashi, Ryuhei and Mansour, Hassan and Boufounos, Petros T.},
- title = {{DUAL-REGULARIZED ITERATIVE ADAPTIVE APPROACH FOR DOA SPECTRUM RECONSTRUCTION IN LIMITED ANGLE SECTOR}},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2026,
- month = may,
- url = {https://www.merl.com/publications/TR2026-039}
- }
- , "ProxiCBO: A Consensus-based Method for Composite Optimization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2026.BibTeX TR2026-041 PDF
- @inproceedings{Zhang2026may,
- author = {Zhang, Haoyu and Ma, Yanting and Kitichotkul, Ruangrawee and Rapp, Joshua and Boufounos, Petros T.},
- title = {{ProxiCBO: A Consensus-based Method for Composite Optimization}},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2026,
- month = may,
- url = {https://www.merl.com/publications/TR2026-041}
- }
- , "Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models", IEEE Transactions on Image Processing, DOI: 10.1109/TIP.2026.3671653, Vol. 35, pp. 2755-2770, March 2026.BibTeX TR2026-031 PDF
- @article{Shenoy2026mar,
- author = {Shenoy, Vineet and Lohit, Suhas and Mansour, Hassan and Chellappa, Rama and Marks, Tim K.},
- title = {{Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models}},
- journal = {IEEE Transactions on Image Processing},
- year = 2026,
- volume = 35,
- pages = {2755--2770},
- month = mar,
- doi = {10.1109/TIP.2026.3671653},
- issn = {1941-0042},
- url = {https://www.merl.com/publications/TR2026-031}
- }
- , "Quantum-enhanced sensing of time-varying signals at the nanometer scale", SPIE Photonics West, Shahriar, S. M., Eds., DOI: 10.1117/12.3079847, March 2026, vol. 13920, pp. 139200I.BibTeX TR2026-037 PDF
- @inproceedings{Lualdi2026mar,
- author = {Lualdi, Colin and Rapp, Joshua and Kwiat, Paul},
- title = {{Quantum-enhanced sensing of time-varying signals at the nanometer scale}},
- booktitle = {Proc. SPIE Quantum Sensing, Imaging, and Precision Metrology IV},
- year = 2026,
- editor = {Shahriar, S. M.},
- volume = 13920,
- pages = {139200I},
- month = mar,
- publisher = {SPIE},
- doi = {10.1117/12.3079847},
- url = {https://www.merl.com/publications/TR2026-037}
- }
- , "Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000. Digital Object Identifier 10.1109/ACCESS.2017.DOI Range Image-Based Implicit Neural Compression for LiDAR Point Clouds", IEEE Access, February 2026.BibTeX TR2026-023 PDF
- @article{Kuwabara2026feb,
- author = {Kuwabara, Akihiro and Kato, Sorachi and Koike-Akino, Toshiaki and Fujihashi, Takuya},
- title = {{Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000. Digital Object Identifier 10.1109/ACCESS.2017.DOI Range Image-Based Implicit Neural Compression for LiDAR Point Clouds}},
- journal = {IEEE Access},
- year = 2026,
- month = feb,
- url = {https://www.merl.com/publications/TR2026-023}
- }
- , "Indoor Multi-View Radar Object Detection via 3D Bounding Box Diffusion", AAAI Conference on Artificial Intelligence, DOI: 10.1609/aaai.v40i22.38939, January 2026, vol. 40, pp. 18710-18718.BibTeX TR2026-019 PDF Software
- @inproceedings{Yataka2026jan,
- author = {Yataka, Ryoma and Wang, Pu and Boufounos, Petros T. and Takahashi, Ryuhei},
- title = {IIndoor Multi-View Radar Object Detection via 3D Bounding Box Diffusion},
- booktitle = {AAAI Conference on Artificial Intelligence},
- year = 2026,
- volume = 40,
- number = 22,
- pages = {18710--18718},
- month = jan,
- doi = {10.1609/aaai.v40i22.38939},
- url = {https://www.merl.com/publications/TR2026-019}
- }
- , "Single View Camera-Based Dynamic Airflow Sensing", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2026.
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Videos
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Software & Data Downloads
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Radar-based 3D Pose Estimation using Transformer -
multi-view Radar object dEtection with 3D bounding boX diffusiOn -
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation -
Radar dEtection TRansformer -
Millimeter-wave Multi-View Radar Dataset -
Nonparametric Score Estimators -
Convergent Inverse Scattering using Optimization and Regularization -
One-Bit CRB -
Learned Born Operator for Reflection Tomographic Imaging
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