Pu (Perry) Wang
![Pu (Perry) Wang](/public/img/photography/people/pwang.jpg)
- Phone: 617-621-7567
- Email:
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Position:
Research / Technical Staff
Senior Principal Research Scientist -
Education:
Ph.D., Stevens Institute of Technology, 2011 -
Research Areas:
External Links:
Perry's Quick Links
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Biography
Pu (Perry) Wang was an intern at the Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, in the summer of 2010. Before returning to MERL in 2016, he was a Research Scientist at Schlumberger-Doll Research, Cambridge, MA, contributing to developments of logging-while-drilling Acoustics/NMR products. His research focuses on signal processing, Bayesian inference, deep learning, and their industrial applications. He received the IEEE Jack Neubauer Memorial Award from IEEE Vehicular Technology Society in 2013 and was recognized as a Distinguished Speaker by the Society of Petrophysicists and Well Log Analysts (SPWLA) for his contributions to borehole NMR imaging in 2017. Current or past roles include serving as a Senior Area Editor (SAE) for IEEE Signal Processing Letters, a Guest Editor for IEEE Signal Processing Magazine and IEEE Sensors Journal, a Member of the IEEE SPS Signal Processing Theory and Methods (SPTM) Technical Committee, a Member of the IEEE ComSoc integrated sensing and communication emerging technology initiative (ISAC-ETI), and a voting member of the IEEE 802.11 Standards Association.
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Recent News & Events
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EVENT MERL Contributes to ICASSP 2024 Date: Sunday, April 14, 2024 - Friday, April 19, 2024
Location: Seoul, South Korea
MERL Contacts: Petros T. Boufounos; François Germain; Chiori Hori; Sameer Khurana; Toshiaki Koike-Akino; Jonathan Le Roux; Hassan Mansour; Zexu Pan; Kieran Parsons; Joshua Rapp; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern; Ryoma Yataka
Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Robotics, Signal Processing, Speech & AudioBrief- MERL has made numerous contributions to both the organization and technical program of ICASSP 2024, which is being held in Seoul, Korea from April 14-19, 2024.
Sponsorship and Awards
MERL is proud to be a Bronze Patron of the conference and will participate in the student job fair on Thursday, April 18. 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. Stéphane G. Mallat, the recipient of the 2024 IEEE Fourier Award for Signal Processing, and Prof. Keiichi Tokuda, the recipient of the 2024 IEEE James L. Flanagan Speech and Audio Processing Award.
Jonathan Le Roux, MERL Speech and Audio Senior Team Leader, will also be recognized during the Awards Ceremony for his recent elevation to IEEE Fellow.
Technical Program
MERL will present 13 papers in the main conference on a wide range of topics including automated audio captioning, speech separation, audio generative models, speech and sound synthesis, spatial audio reproduction, multimodal indoor monitoring, radar imaging, depth estimation, physics-informed machine learning, and integrated sensing and communications (ISAC). Three workshop papers have also been accepted for presentation on audio-visual speaker diarization, music source separation, and music generative models.
Perry Wang is the co-organizer of the Workshop on Signal Processing and Machine Learning Advances in Automotive Radars (SPLAR), held on Sunday, April 14. It features keynote talks from leaders in both academia and industry, peer-reviewed workshop papers, and lightning talks from ICASSP regular tracks on signal processing and machine learning for automotive radar and, more generally, radar perception.
Gordon Wichern will present an invited keynote talk on analyzing and interpreting audio deep learning models at the Workshop on Explainable Machine Learning for Speech and Audio (XAI-SA), held on Monday, April 15. He will also appear in a panel discussion on interpretable audio AI at the workshop.
Perry Wang also co-organizes a two-part special session on Next-Generation Wi-Fi Sensing (SS-L9 and SS-L13) which will be held on Thursday afternoon, April 18. The special session includes papers on PHY-layer oriented signal processing and data-driven deep learning advances, and supports upcoming 802.11bf WLAN Sensing Standardization activities.
Petros Boufounos is participating as a mentor in ICASSP’s Micro-Mentoring Experience Program (MiME).
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 3000 participants.
- MERL has made numerous contributions to both the organization and technical program of ICASSP 2024, which is being held in Seoul, Korea from April 14-19, 2024.
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NEWS MERL Researchers give a Tutorial Talk on Quantum Machine Learning for Sensing and Communications at IEEE VCC Date: November 28, 2023 - November 30, 2023
Where: Virtual
MERL Contacts: Toshiaki Koike-Akino; Pu (Perry) Wang
Research Areas: Artificial Intelligence, Communications, Computational Sensing, Machine Learning, Signal ProcessingBrief- On November 28, 2023, MERL researchers Toshiaki Koike-Akino and Pu (Perry) Wang will give a 3-hour tutorial presentation at the first IEEE Virtual Conference on Communications (VCC). The talk, titled "Post-Deep Learning Era: Emerging Quantum Machine Learning for Sensing and Communications," addresses recent trends, challenges, and advances in sensing and communications. P. Wang presents use cases, industry trends, signal processing, and deep learning for Wi-Fi integrated sensing and communications (ISAC), while T. Koike-Akino discusses the future of deep learning, giving a comprehensive overview of artificial intelligence (AI) technologies, natural computing, emerging quantum AI, and their diverse applications. The tutorial is conducted virtually.
IEEE VCC is a new fully virtual conference launched from the IEEE Communications Society, gathering researchers from academia and industry who are unable to travel but wish to present their recent scientific results and engage in conducive interactive discussions with fellow researchers working in their fields. It is designed to resolve potential hardship such as pandemic restrictions, visa issues, travel problems, or financial difficulties.
- On November 28, 2023, MERL researchers Toshiaki Koike-Akino and Pu (Perry) Wang will give a 3-hour tutorial presentation at the first IEEE Virtual Conference on Communications (VCC). The talk, titled "Post-Deep Learning Era: Emerging Quantum Machine Learning for Sensing and Communications," addresses recent trends, challenges, and advances in sensing and communications. P. Wang presents use cases, industry trends, signal processing, and deep learning for Wi-Fi integrated sensing and communications (ISAC), while T. Koike-Akino discusses the future of deep learning, giving a comprehensive overview of artificial intelligence (AI) technologies, natural computing, emerging quantum AI, and their diverse applications. The tutorial is conducted virtually.
See All News & Events for Perry -
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Awards
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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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Research Highlights
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Internships with Perry
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ST2083: Deep Learning for Radar Perception
The Computation Sensing team at MERL is seeking a highly motivated intern to conduct fundamental research in radar perception. Expertise in deep learning-based object detection, multiple object tracking, data association, and representation learning (detection points, heatmaps, and raw radar waveforms) is required. Previous hands-on experience on open indoor/outdoor radar datasets is a plus. Familiarity with the concept of FMCW, MIMO, and range-Doppler-angle spectrum is an asset. The intern will collaborate with a small group of MERL researchers to develop novel algorithms, design experiments with MERL in-house testbed, 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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MERL Publications
- "SIRA: Scalable Inter-frame Relation and Association for Radar Perception", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2024.BibTeX TR2024-041 PDF
- @inproceedings{Yataka2024jun,
- author = {Yataka, Ryoma and Wang, Pu and Boufounos, Petros T. and Takahashi, Ryuhei},
- title = {SIRA: Scalable Inter-frame Relation and Association for Radar Perception},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
- year = 2024,
- month = jun,
- url = {https://www.merl.com/publications/TR2024-041}
- }
, - "1 Object Trajectory Estimation with Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-F", IEEE Journal of Selected Topics in Signal Processing, April 2024.BibTeX TR2024-044 PDF
- @article{Vaca-Rubio2024apr,
- author = {Vaca-Rubio, Cristian and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Boufounos, Petros T. and Popovski, Petar},
- title = {1 Object Trajectory Estimation with Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-F},
- journal = {IEEE Journal of Selected Topics in Signal Processing},
- year = 2024,
- month = apr,
- url = {https://www.merl.com/publications/TR2024-044}
- }
, - "Improve IEEE 802.15.4 Network Reliability by Suspendable CSMA/CA", IEEE Wireless Communications and Networking Conference (WCNC), April 2024.BibTeX TR2024-039 PDF
- @inproceedings{Nagai2024apr,
- author = {Nagai, Yukimasa and Guo, Jianlin and Sumi, Takenori and Parsons, Kieran and Orlik, Philip V. and Rolfe, Benjamin A. and Wang, Pu},
- title = {Improve IEEE 802.15.4 Network Reliability by Suspendable CSMA/CA},
- booktitle = {IEEE Wireless Communications and Networking Conference (WCNC)},
- year = 2024,
- month = apr,
- url = {https://www.merl.com/publications/TR2024-039}
- }
, - "SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules", arXiv, March 2024.BibTeX arXiv
- @article{Chen2024mar,
- author = {Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew and Wang, Guanghui and Koike-Akino, Toshiaki},
- title = {SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules},
- journal = {arXiv},
- year = 2024,
- month = mar,
- url = {https://arxiv.org/abs/2403.11887}
- }
, - "Monostatic DMG Passive Sensing with Hypothesis Testing", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP48485.2024.10447134, March 2024, pp. 13381-13385.BibTeX TR2024-020 PDF
- @inproceedings{Wang2024mar,
- author = {Wang, Pu and Boufounos, Petros T.},
- title = {Monostatic DMG Passive Sensing with Hypothesis Testing},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2024,
- pages = {13381--13385},
- month = mar,
- publisher = {IEEE},
- doi = {10.1109/ICASSP48485.2024.10447134},
- issn = {2379-190X},
- isbn = {979-8-3503-4485-1},
- url = {https://www.merl.com/publications/TR2024-020}
- }
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- "SIRA: Scalable Inter-frame Relation and Association for Radar Perception", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2024.
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Other Publications
- "Dipole Shear Anisotropy Using Logging-While-Drilling Sonic Tools", SPWLA 57th Annual Logging Symposium, June 2016.BibTeX
- @Inproceedings{WangBose2016,
- author = {Wang, P. and Bose, S. and Sinha, S.K.},
- title = {Dipole Shear Anisotropy Using Logging-While-Drilling Sonic Tools},
- booktitle = {SPWLA 57th Annual Logging Symposium},
- year = 2016,
- month = jun
- }
, - "Sparse Bayesian T1-T2 Inversion from Borehole NMR Measurements", SPWLA 57th Annual Logging Symposium, June 2016.BibTeX
- @Inproceedings{WangJain2016,
- author = {Wang, P. and Jain, V. and Venkataramanan, L.},
- title = {Sparse Bayesian T1-T2 Inversion from Borehole NMR Measurements},
- booktitle = {SPWLA 57th Annual Logging Symposium},
- year = 2016,
- month = jun
- }
, - "Knowledge-aided hyperparameter-free Bayesian detection in stochastic homogeneous environments", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2016.BibTeX
- @Inproceedings{WangLi2016,
- author = {Wang, P. and Li, H. and O., Besson and J., Fang},
- title = {Knowledge-aided hyperparameter-free Bayesian detection in stochastic homogeneous environments},
- booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
- year = 2016,
- month = mar
- }
, - "Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals", IEEE Transactions on Signal Processing, Vol. 63, No. 2, pp. 360-372, Jan 2015.BibTeX
- @Article{6967808,
- author = {Fang, J. and Shen, Y. and Li, H. and Wang, P.},
- title = {Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals},
- journal = {IEEE Transactions on Signal Processing},
- year = 2015,
- volume = 63,
- number = 2,
- pages = {360--372},
- month = {Jan}
- }
, - Bayesian Radar Detection in Interference, SciTech Publishing, 2015.BibTeX
- @Book{WangLiHimed16,
- author = {Wang, P. and Li, H. and Himed, B.},
- title = {Bayesian Radar Detection in Interference},
- booktitle = {Modern Radar Detection Theory},
- year = 2015,
- editor = {De Maio, A. and Greco, M.S.},
- chapter = 5,
- pages = {133--162},
- address = {Edison, NJ},
- publisher = {SciTech Publishing}
- }
, - "Cramer-Rao Bounds for Broadband Dispersion Extraction of Borehole Acoustic Modes", IEEE Signal Processing Letters, Vol. 21, No. 9, pp. 1083-1087, Sept 2014.BibTeX
- @Article{6813598,
- author = {Wang, P. and Bose, S.},
- title = {Cramer-Rao Bounds for Broadband Dispersion Extraction of Borehole Acoustic Modes},
- journal = {IEEE Signal Processing Letters},
- year = 2014,
- volume = 21,
- number = 9,
- pages = {1083--1087},
- month = {Sept}
- }
, - "Knowledge-Aided Parametric Adaptive Matched Filter With Automatic Combining for Covariance Estimation", IEEE Transactions on Signal Processing, Vol. 62, No. 18, pp. 4713-4722, Sept 2014.BibTeX
- @Article{6853408,
- author = {Wang, P. and Wang, Z. and Li, H. and Himed, B.},
- title = {Knowledge-Aided Parametric Adaptive Matched Filter With Automatic Combining for Covariance Estimation},
- journal = {IEEE Transactions on Signal Processing},
- year = 2014,
- volume = 62,
- number = 18,
- pages = {4713--4722},
- month = {Sept}
- }
, - "A Parametric Moving Target Detector for Distributed MIMO Radar in Non-Homogeneous Environment", IEEE Transactions on Signal Processing, Vol. 61, No. 9, pp. 2282-2294, May 2013.BibTeX
- @Article{6450110,
- author = {Wang, P. and Li, H. and Himed, B.},
- title = {A Parametric Moving Target Detector for Distributed MIMO Radar in Non-Homogeneous Environment},
- journal = {IEEE Transactions on Signal Processing},
- year = 2013,
- volume = 61,
- number = 9,
- pages = {2282--2294},
- month = may
- }
, - "A Hybrid CPF-HAF Estimation of Polynomial-Phase Signals: Detailed Statistical Analysis", IEEE Transactions on Signal Processing, Vol. 60, No. 10, pp. 5010-5023, Oct 2012.BibTeX
- @Article{6222371,
- author = {Djurovic, I. and Simeunovic, M. and Djukanovic, S. and Wang, P.},
- title = {A Hybrid CPF-HAF Estimation of Polynomial-Phase Signals: Detailed Statistical Analysis},
- journal = {IEEE Transactions on Signal Processing},
- year = 2012,
- volume = 60,
- number = 10,
- pages = {5010--5023},
- month = {Oct}
- }
, - "Detection With Target-Induced Subspace Interference", IEEE Signal Processing Letters, Vol. 19, No. 7, pp. 403-406, July 2012.BibTeX
- @Article{6193410,
- author = {Wang, P. and Fang, J. and Li, H. and Himed, B.},
- title = {Detection With Target-Induced Subspace Interference},
- journal = {IEEE Signal Processing Letters},
- year = 2012,
- volume = 19,
- number = 7,
- pages = {403--406},
- month = jul
- }
, - "Knowledge-Aided Parametric Tests for Multichannel Adaptive Signal Detection", IEEE Transactions on Signal Processing, Vol. 59, No. 12, pp. 5970-5982, Dec 2011.BibTeX
- @Article{6020816,
- author = {Wang, P. and Li, H. and Himed, B.},
- title = {Knowledge-Aided Parametric Tests for Multichannel Adaptive Signal Detection},
- journal = {IEEE Transactions on Signal Processing},
- year = 2011,
- volume = 59,
- number = 12,
- pages = {5970--5982},
- month = {Dec}
- }
, - "Moving Target Detection Using Distributed MIMO Radar in Clutter With Nonhomogeneous Power", IEEE Transactions on Signal Processing, Vol. 59, No. 10, pp. 4809-4820, Oct 2011.BibTeX
- @Article{5934613,
- author = {Wang, P. and Li, H. and Himed, B.},
- title = {Moving Target Detection Using Distributed MIMO Radar in Clutter With Nonhomogeneous Power},
- journal = {IEEE Transactions on Signal Processing},
- year = 2011,
- volume = 59,
- number = 10,
- pages = {4809--4820},
- month = {Oct}
- }
, - "Parametric Rao Tests for Multichannel Adaptive Detection in Partially Homogeneous Environment", IEEE Transactions on Aerospace and Electronic Systems, Vol. 47, No. 3, pp. 1850-1862, July 2011.BibTeX
- @Article{5937269,
- author = {Wang, P. and Li, H. and Himed, B.},
- title = {Parametric Rao Tests for Multichannel Adaptive Detection in Partially Homogeneous Environment},
- journal = {IEEE Transactions on Aerospace and Electronic Systems},
- year = 2011,
- volume = 47,
- number = 3,
- pages = {1850--1862},
- month = jul
- }
, - "Integrated Cubic Phase Function for Linear FM Signal Analysis", IEEE Transactions on Aerospace and Electronic Systems, Vol. 46, No. 3, pp. 963-977, July 2010.BibTeX
- @Article{5545167,
- author = {Wang, P. and Li, H. and Djurovic, I. and Himed, B.},
- title = {Integrated Cubic Phase Function for Linear FM Signal Analysis},
- journal = {IEEE Transactions on Aerospace and Electronic Systems},
- year = 2010,
- volume = 46,
- number = 3,
- pages = {963--977},
- month = jul
- }
, - "Multiantenna-Assisted Spectrum Sensing for Cognitive Radio", IEEE Transactions on Vehicular Technology, Vol. 59, No. 4, pp. 1791-1800, May 2010.BibTeX
- @Article{5345867,
- author = {Wang, P. and Fang, J. and Han, N. and Li, H.},
- title = {Multiantenna-Assisted Spectrum Sensing for Cognitive Radio},
- journal = {IEEE Transactions on Vehicular Technology},
- year = 2010,
- volume = 59,
- number = 4,
- pages = {1791--1800},
- month = may
- }
, - "Performance of Instantaneous Frequency Rate Estimation Using High-Order Phase Function", IEEE Transactions on Signal Processing, Vol. 58, No. 4, pp. 2415-2421, April 2010.BibTeX
- @Article{5290077,
- author = {Wang, P. and Li, H. and Djurovic, I. and Himed, B.},
- title = {Performance of Instantaneous Frequency Rate Estimation Using High-Order Phase Function},
- journal = {IEEE Transactions on Signal Processing},
- year = 2010,
- volume = 58,
- number = 4,
- pages = {2415--2421},
- month = apr
- }
, - "A Bayesian Parametric Test for Multichannel Adaptive Signal Detection in Nonhomogeneous Environments", IEEE Signal Processing Letters, Vol. 17, No. 4, pp. 351-354, April 2010.BibTeX
- @Article{5371946,
- author = {Wang, P. and Li, H. and Himed, B.},
- title = {A Bayesian Parametric Test for Multichannel Adaptive Signal Detection in Nonhomogeneous Environments},
- journal = {IEEE Signal Processing Letters},
- year = 2010,
- volume = 17,
- number = 4,
- pages = {351--354},
- month = apr
- }
, - "A New Parametric GLRT for Multichannel Adaptive Signal Detection", IEEE Transactions on Signal Processing, Vol. 58, No. 1, pp. 317-325, Jan 2010.BibTeX
- @Article{5210195,
- author = {Wang, P. and Li, H. and Himed, B.},
- title = {A New Parametric GLRT for Multichannel Adaptive Signal Detection},
- journal = {IEEE Transactions on Signal Processing},
- year = 2010,
- volume = 58,
- number = 1,
- pages = {317--325},
- month = {Jan}
- }
, - "Instantaneous Frequency Rate Estimation for High-Order Polynomial-Phase Signals", IEEE Signal Processing Letters, Vol. 16, No. 9, pp. 782-785, Sept 2009.BibTeX
- @Article{5071278,
- author = {Wang, P. and Li, H. and Djurovic, I. and Himed, B.},
- title = {Instantaneous Frequency Rate Estimation for High-Order Polynomial-Phase Signals},
- journal = {IEEE Signal Processing Letters},
- year = 2009,
- volume = 16,
- number = 9,
- pages = {782--785},
- month = {Sept}
- }
, - "Generalized High-Order Phase Function for Parameter Estimation of Polynomial Phase Signal", IEEE Transactions on Signal Processing, Vol. 56, No. 7, pp. 3023-3028, July 2008.BibTeX
- @Article{4545291,
- author = {Wang, P. and Djurovic, I. and Yang, J.},
- title = {Generalized High-Order Phase Function for Parameter Estimation of Polynomial Phase Signal},
- journal = {IEEE Transactions on Signal Processing},
- year = 2008,
- volume = 56,
- number = 7,
- pages = {3023--3028},
- month = jul
- }
, - "Performance of Cooperative Relay With Binary Modulation in Nakagami- Fading Channels", IEEE Transactions on Vehicular Technology, Vol. 57, No. 5, pp. 3310-3315, Sept 2008.BibTeX
- @Article{4425810,
- author = {Zhao, Q. and Li, H. and Wang, P.},
- title = {Performance of Cooperative Relay With Binary Modulation in Nakagami- Fading Channels},
- journal = {IEEE Transactions on Vehicular Technology},
- year = 2008,
- volume = 57,
- number = 5,
- pages = {3310--3315},
- month = {Sept}
- }
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- "Dipole Shear Anisotropy Using Logging-While-Drilling Sonic Tools", SPWLA 57th Annual Logging Symposium, June 2016.
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Software & Data Downloads
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Videos
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MERL Issued Patents
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Title: "System and Method for Active Carrier Sense Based CSMA/CA for IEEE 802.15.4 System to Avoid Packet Discard Caused by Interference"
Inventors: Guo, Jianlin; Orlik, Philip V.; Nagai, Yukimasa; Sumi, Takenori; Wang, Pu; Parsons, Kieran
Patent No.: 11,985,705
Issue Date: May 14, 2024 -
Title: "System and Method for Tracking an Expanded State of a Moving Object Using a Compound Measurement Model"
Inventors: Wang, Pu; Mansour, Hassan; Berntorp, Karl; Boufounos, Petros T.; Orlik, Philip V.
Patent No.: 11,914,023
Issue Date: Feb 27, 2024 -
Title: "Multi-Band Wi-Fi Fusion for WLAN Sensing"
Inventors: Wang, Pu; Yu, Jianyuan; Koike-Akino, Toshiaki; Wang, Ye; Orlik, Philip V.
Patent No.: 11,902,811
Issue Date: Feb 13, 2024 -
Title: "System and Method for Tracking Expanded State of Moving Object with Model Geometry Learning"
Inventors: Wang, Pu; Berntorp, Karl; Xia, Yuxuan; Mansour, Hassan; Boufounos, Petros T.; Orlik, Philip V.
Patent No.: 11,879,964
Issue Date: Jan 23, 2024 -
Title: "System and Method for Tracking Expanded State of an Object"
Inventors: Wang, Pu; Xia, Yuxuan; Berntorp, Karl; Koike-Akino, Toshiaki; Mansour, Hassan; Boufounos, Petros T.; Orlik, Philip V.
Patent No.: 11,619,494
Issue Date: Apr 4, 2023 -
Title: "Radar Detection of Moving Object with Waveform Separation Residual"
Inventors: Wang, Pu; Boufounos, Petros T.; Mansour, Hassan; Orlik, Philip V.
Patent No.: 11,567,183
Issue Date: Jan 31, 2023 -
Title: "Frequency Modulated Image Reconstruction"
Inventors: Millar, David; Wang, Pu; Parsons, Kieran; Orlik, Philip V.
Patent No.: 11,346,932
Issue Date: May 31, 2022 -
Title: "Optical Coherence Tomography (OCT) System for Producing Profilometry Measurements of a Specimen"
Inventors: Millar, David; Yurdakul, Celalettin; Wang, Pu; Parsons, Kieran
Patent No.: 11,262,184
Issue Date: Mar 1, 2022 -
Title: "Localization using Millimeter Wave Beam Attributes for Keyless Entry Applications"
Inventors: Koike-Akino, Toshiaki; Wang, Pu; Pajovic, Milutin; Orlik, Philip V.
Patent No.: 11,249,181
Issue Date: Feb 15, 2022 -
Title: "Localization using Millimeter Wave Beam Attributes"
Inventors: Pajovic, Milutin; Koike-Akino, Toshiaki; Wang, Pu; Orlik, Philip V.
Patent No.: 11,122,397
Issue Date: Sep 14, 2021 -
Title: "Symbol Detection of Massive MIMO Systems with Unknown Symbol-Dependent Transmit-Side Impairments"
Inventors: Wang, Pu; Koike-Akino, Toshiaki; Pajovic, Milutin; Orlik, Philip V.
Patent No.: 11,121,816
Issue Date: Sep 14, 2021 -
Title: "Learning-Based See-Through Sensing Suitable for Factory Automation"
Inventors: Wang, Pu; Koike-Akino, Toshiaki; Orlik, Philip V.; Bose, Arindam
Patent No.: 11,061,388
Issue Date: Jul 13, 2021 -
Title: "Reference-Free Nonlinearity Correction for FMCW-Based Sensing Systems"
Inventors: Wang, Pu; Millar, David; Lin, Chungwei; Parsons, Kieran; Orlik, Philip V.
Patent No.: 10,969,465
Issue Date: Apr 6, 2021 -
Title: "Systems and Methods for Speed Estimation of Contactless Encoder Systems"
Inventors: Wang, Pu; Orlik, Philip V.; Sadamoto, Kota; Tsujita, Wataru
Patent No.: 10,866,124
Issue Date: Dec 15, 2020 -
Title: "Methods and Systems for Terahertz-Based Positioning"
Inventors: Wang, Pu; Fu, Haoyu; Orlik, Philip V.; Koike-Akino, Toshiaki; Ma, Rui; Wang, Bingnan
Patent No.: 10,795,151
Issue Date: Oct 6, 2020 -
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Inventors: Wang, Pu; Pajovic, Milutin; Orlik, Philip V.; Boufounos, Petros T.
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Title: "See-Through Sensing for Image Reconstruction of Structure of Target Object"
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