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
Karl
Berntorp
Petros T.
Boufounos
Hassan
Mansour
Stefano
Di Cairano
Bingnan
Wang
Jianlin
Guo
Dehong
Liu
Yebin
Wang
Wataru
Tsujita
Marcus
Greiff
Koon Hoo
Teo
Mouhacine
Benosman
Matthew
Brand
Yanting
Ma
Devesh K.
Jha
Chungwei
Lin
Hongbo
Sun
Jinyun
Zhang
Ankush
Chakrabarty
Anthony
Vetro
Abraham
Goldsmith
Suhas
Lohit
Tim K.
Marks
Rien
Quirynen
Joshua
Rapp
Avishai
Weiss
William S.
Yerazunis
Jose
Amaya
Vedang M.
Deshpande
Jonathan
Le Roux
Pedro
Miraldo
Huifang
Sun
Abraham P.
Vinod
Jing
Liu
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Awards
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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.
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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.
See All Awards for Signal Processing -
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News & Events
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NEWS Keynote address given by Philip Orlik at 9th annual IEEE Smartcomp conference Date: June 26, 2023
Where: International Conference on Smart Computing (SMARTCOMP), Vanderbilt University, Nashville, Tennessee
MERL Contact: Philip V. Orlik
Research Areas: Communications, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Signal ProcessingBrief- VP & Research Director, Philip Orlik, gave a keynote titled, "Smart Technologies for Smarter Buildings" at the 9th edition of the IEEE International Conference on Smart Computing (SMARTCOMP) focusing on some of the research challenges and opportunities that arise as we seek to achieve net-zero emissions in Smart building environments.
SMARTCOMP is the premier conference on smart computing. Smart computing is a multidisciplinary domain based on the synergistic influence of advances in sensor-based technologies, Internet of Things, cyber-physical systems, edge computing, big data analytics, machine learning, cognitive computing, and artificial intelligence.
- VP & Research Director, Philip Orlik, gave a keynote titled, "Smart Technologies for Smarter Buildings" at the 9th edition of the IEEE International Conference on Smart Computing (SMARTCOMP) focusing on some of the research challenges and opportunities that arise as we seek to achieve net-zero emissions in Smart building environments.
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NEWS Mitsubishi Electric Corporation Press Release Announces Worlds First GaN Power Amplifier Capable of Wideband Operation for 4G, 5G and Beyond 5G/6G. Date: June 8, 2023
MERL Contacts: Toshiaki Koike-Akino; Koon Hoo Teo
Research Areas: Communications, Electronic and Photonic Devices, Machine Learning, Signal ProcessingBrief- Mitsubishi Electric Corporation announced today it has developed what is believed to be the world's first gallium nitride (GaN) power amplifier that achieves a frequency range of 3,400MHz using a single power amplifier, which the company has demonstrated can be used for 4G, 5G and Beyond 5G/6G communication systems operating at different frequencies in a single base station. The amplifier is expected to enable the radio unit (transceiver) to be shared with different communication systems and lead to more power-efficient base stations.
Mitsubishi Electric Researchers, Toshiaki Koike-Akino and Koon Hoo Teo helped developed the technology and device. Technical details will be presented at the IEEE International Microwave Symposium 2023 this month.
Please see the link below for the full press release from Mitsubishi Electric.
- Mitsubishi Electric Corporation announced today it has developed what is believed to be the world's first gallium nitride (GaN) power amplifier that achieves a frequency range of 3,400MHz using a single power amplifier, which the company has demonstrated can be used for 4G, 5G and Beyond 5G/6G communication systems operating at different frequencies in a single base station. The amplifier is expected to enable the radio unit (transceiver) to be shared with different communication systems and lead to more power-efficient base stations.
See All News & Events for Signal Processing -
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Research Highlights
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Internships
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ST1750: THz (Terahertz) Sensing
The Signal Processing (SP) group at MERL is seeking a highly motivated intern to conduct fundamental research in THz (Terahertz) sensing. Expertise in statistical inference, unsupervised anomaly detection, and deep learning (spatial-temporal representation learning) is required. Previous hands-on experience in THz data analysis is a plus. Familiarity with python and deep learning libraries is a must. The intern will collaborate with a small group of MERL researchers to develop novel algorithms, design experiments with collaborators, and prepare results for patents and publication. The expected duration of the internship is 3 months with a flexible start date.
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CI1950: Quantum Machine Learning
MERL is seeking an intern to work on research for quantum machine learning (QML). The ideal candidate is an experienced PhD student or post-graduate researcher having an excellent background in quantum computing, deep learning, and signal processing. Proficient programming skills with PyTorch and PennyLane will be additional assets to this position.
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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.
See All Internships for Signal Processing -
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Recent Publications
- "Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors", Asia Pacific Conference of the Prognostics and Health Management Society, September 2023.BibTeX TR2023-115 PDF
- @inproceedings{Liu2023sep,
- author = {Liu, Dehong and Anantaram, Varatharajan and Goldsmith, Abraham},
- title = {Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors},
- booktitle = {Asia Pacific Conference of the Prognostics and Health Management Society},
- year = 2023,
- month = sep,
- url = {https://www.merl.com/publications/TR2023-115}
- }
, - "Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming", IEEE Communications Surveys & Tutorials, August 2023.BibTeX TR2023-102 PDF
- @article{Fujihashi2023aug,
- author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
- title = {Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming},
- journal = {IEEE Communications Surveys & Tutorials},
- year = 2023,
- month = aug,
- url = {https://www.merl.com/publications/TR2023-102}
- }
, - "Scene depths from a two-polarization metalens", Optica Imaging Congress / Flat Optics, August 2023.BibTeX TR2023-105 PDF
- @inproceedings{Brand2023aug,
- author = {Brand, Matthew and Kuang, Zeyu},
- title = {Scene depths from a two-polarization metalens},
- booktitle = {Optica Imaging Congress / Flat Optics},
- year = 2023,
- month = aug,
- url = {https://www.merl.com/publications/TR2023-105}
- }
, - "Personalized Routing using Crowdsourced Connected Vehicle Data", IEEE Conference on Control Technology and Applications (CCTA), August 2023.BibTeX TR2023-095 PDF
- @inproceedings{Tiwari2023aug,
- author = {Tiwari, Anuj and Berntorp, Karl and Di Cairano, Stefano and Menner, Marcel},
- title = {Personalized Routing using Crowdsourced Connected Vehicle Data},
- booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
- year = 2023,
- month = aug,
- url = {https://www.merl.com/publications/TR2023-095}
- }
, - "A Generalized GraphEM for Sparse Time-Varying Dynamical Systems", World Congress of the International Federation of Automatic Control (IFAC), July 2023.BibTeX TR2023-086 PDF
- @inproceedings{Greiff2023jul2,
- author = {Greiff, Marcus and Di Cairano, Stefano and Mansour, Hassan and Berntorp, Karl},
- title = {A Generalized GraphEM for Sparse Time-Varying Dynamical Systems},
- booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
- year = 2023,
- month = jul,
- url = {https://www.merl.com/publications/TR2023-086}
- }
, - "Adaptive Smoothing with Ambiguity Fixation for GNSS Post-Processing", World Congress of the International Federation of Automatic Control (IFAC), July 2023.BibTeX TR2023-083 PDF
- @inproceedings{Greiff2023jul,
- author = {Greiff, Marcus and Berntorp, Karl and Di Cairano, Stefano},
- title = {Adaptive Smoothing with Ambiguity Fixation for GNSS Post-Processing},
- booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
- year = 2023,
- month = jul,
- url = {https://www.merl.com/publications/TR2023-083}
- }
, - "Sensing and Machine Learning for Automotive Perception: A Review", IEEE Sensors Journal, DOI: 10.1109/JSEN.2023.3262134, Vol. 23, No. 11, pp. 11097-11115, June 2023.BibTeX TR2023-089 PDF
- @article{Pandharipande2023jun,
- author = {Pandharipande, Ashish and Cheng, Chih-Hong and Dauwels, Justin and Gurbuz, Sevgi and Ibanez-Guzman, Javier and Li, Guofa and Piazzoni, Andrea and Wang, Pu and Santra, Avik},
- title = {Sensing and Machine Learning for Automotive Perception: A Review},
- journal = {IEEE Sensors Journal},
- year = 2023,
- volume = 23,
- number = 11,
- pages = {11097--11115},
- month = jun,
- doi = {10.1109/JSEN.2023.3262134},
- issn = {1558-1748},
- url = {https://www.merl.com/publications/TR2023-089}
- }
, - "Constrained Gaussian-Process State-Space Models for Online Magnetic-Field Estimation", International Conference on Information Fusion (FUSION), June 2023.BibTeX TR2023-075 PDF
- @inproceedings{Berntorp2023jun2,
- author = {Berntorp, Karl and Menner, Marcel},
- title = {Constrained Gaussian-Process State-Space Models for Online Magnetic-Field Estimation},
- booktitle = {International Conference on Information Fusion (FUSION)},
- year = 2023,
- month = jun,
- url = {https://www.merl.com/publications/TR2023-075}
- }
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- "Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors", Asia Pacific Conference of the Prognostics and Health Management Society, September 2023.
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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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Downloads