Pu (Perry) Wang

  • 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.

  • Recent News & Events

    •  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 Processing
      Brief
      • 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.
    •  
    •  EVENT    MERL Contributes to ICASSP 2023
      Date: Sunday, June 4, 2023 - Saturday, June 10, 2023
      Location: Rhodes Island, Greece
      MERL Contacts: Petros T. Boufounos; François 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 & Audio
      Brief
      • 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.
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  • Awards

    •  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 Processing
      Brief
      • 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.
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  • Research Highlights

  • Internships with Perry

    • 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.

    • ST2082: Integrated Sensing and Communication (ISAC)

      The Computational Sensing team at MERL is seeking a highly motivated intern to conduct fundamental research in integrated sensing and communication (ISAC) with a focus on signal processing, model-based learning, and optimization. Expertise in joint waveform/sequence optimization, integrated ISAC precoder/combiner design, model-based learning for ISAC, and downlink/uplink/active sensing under timing and frequency offsets is highly desired. Familiarity with IEEE 802.11 (ac/ax/ad/ay) standards is a plus but not required. The intern will collaborate with a small group of MERL researchers to develop novel algorithms, design experiments using MERL in-house testbed, and prepare results for publication. The expected duration of the internship is 3 months with a flexible start date.

    • 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.

    See All Internships at MERL
  • MERL Publications

    •  Liu, J., Koike-Akino, T., Wang, P., Brand, M., Wang, Y., Parsons, K., "LoDA: Low-Dimensional Adaptation of Large Language Models", Advances in Neural Information Processing Systems (NeurIPS) workshop, December 2023.
      BibTeX TR2023-150 PDF
      • @inproceedings{Liu2023dec,
      • author = {Liu, Jing and Koike-Akino, Toshiaki and Wang, Pu and Brand, Matthew and Wang, Ye and Parsons, Kieran},
      • title = {LoDA: Low-Dimensional Adaptation of Large Language Models},
      • booktitle = {Advances in Neural Information Processing Systems (NeurIPS) workshop},
      • year = 2023,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2023-150}
      • }
    •  Nuti, P., Kim, K.J., Wang, P., Koike-Akino, T., Parsons, K., "RIS-Assisted Joint Preamble Detection and Localization", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), December 2023.
      BibTeX TR2023-142 PDF
      • @inproceedings{Nuti2023dec,
      • author = {Nuti, Pooja and Kim, Kyeong Jin and Wang, Pu and Koike-Akino, Toshiaki and Parsons, Kieran},
      • title = {RIS-Assisted Joint Preamble Detection and Localization},
      • booktitle = {IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
      • year = 2023,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2023-142}
      • }
    •  Pandharipande, A., Cheng, C.-H., Dauwels, J., Gurbuz, S., Ibanez-Guzman, J., Li, G., Piazzoni, A., Wang, P., Santra, A., "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}
      • }
    •  Guo, J., Koike-Akino, T., Wang, P., Parsons, K., Orlik, P.V., Shanmuga Sundaram, J.P., Sumi, T., Nagai, Y., "Rateless Coding for Multi-Hop Broadcast Transmission in Wireless IoT Networks", IEEE International Symposium on Information Theory (ISIT), June 2023.
      BibTeX TR2023-073 PDF
      • @inproceedings{Guo2023jun,
      • author = {Guo, Jianlin and Koike-Akino, Toshiaki and Wang, Pu and Parsons, Kieran and Orlik, Philip V. and Shanmuga Sundaram, Jothi Prasanna and Sumi, Takenori and Nagai, Yukimasa},
      • title = {Rateless Coding for Multi-Hop Broadcast Transmission in Wireless IoT Networks},
      • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
      • year = 2023,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2023-073}
      • }
    •  Jin, S., Wang, P., Boufounos, P.T., Takahashi, R., Roy, S., "Spatial-Domain Object Detection Under MIMO-FMCW Automotive Radar Interference", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10095409, May 2023, pp. 1-5.
      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,
      • pages = {1--5},
      • month = may,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP49357.2023.10095409},
      • isbn = {978-1-7281-6327-7},
      • url = {https://www.merl.com/publications/TR2023-027}
      • }
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  • Other Publications

    •  P. Wang, S. Bose and S.K. Sinha, "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
      • }
    •  P. Wang, V. Jain and L. Venkataramanan, "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
      • }
    •  P. Wang, H. Li, Besson O. and Fang J., "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
      • }
    •  J. Fang, Y. Shen, H. Li and P. Wang, "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}
      • }
    •  P. Wang, H. Li and B. Himed, 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}
      • }
    •  P. Wang and S. Bose, "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}
      • }
    •  P. Wang, Z. Wang, H. Li and B. Himed, "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}
      • }
    •  P. Wang, H. Li and B. Himed, "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
      • }
    •  I. Djurovic, M. Simeunovic, S. Djukanovic and P. Wang, "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}
      • }
    •  P. Wang, J. Fang, H. Li and B. Himed, "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
      • }
    •  P. Wang, H. Li and B. Himed, "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}
      • }
    •  P. Wang, H. Li and B. Himed, "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}
      • }
    •  P. Wang, H. Li and B. Himed, "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
      • }
    •  P. Wang, H. Li, I. Djurovic and B. Himed, "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
      • }
    •  P. Wang, J. Fang, N. Han and H. Li, "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
      • }
    •  P. Wang, H. Li, I. Djurovic and B. Himed, "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
      • }
    •  P. Wang, H. Li and B. Himed, "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
      • }
    •  P. Wang, H. Li and B. Himed, "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}
      • }
    •  P. Wang, H. Li, I. Djurovic and B. Himed, "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}
      • }
    •  P. Wang, I. Djurovic and J. Yang, "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
      • }
    •  Q. Zhao, H. Li and P. Wang, "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}
      • }
  • Software & Data Downloads

  • Videos

  • MERL Issued Patents

    • 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.
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      Issue Date: Jan 21, 2020
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      Issue Date: Sep 10, 2019
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      Issue Date: Aug 13, 2019
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      Issue Date: Apr 23, 2019
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      Issue Date: Feb 26, 2019
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    • Title: "Persymmetric Parametric Adaptive Matched Filters for Detecting Targets Using Space-Time Adaptive Processing of Radar Signals"
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      Inventors: Pun, Man On; Sahinoglu, Zafer; Wang, Pu
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      Issue Date: Mar 20, 2012
    See All Patents for MERL