Pu (Perry) Wang

Pu (Perry) Wang
Perry's Quick Links

  • 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

    •  EVENT    MERL Contributes to ICASSP 2025
      Date: Sunday, April 6, 2025 - Friday, April 11, 2025
      Location: Hyderabad, India
      MERL Contacts: Wael H. Ali; Petros T. Boufounos; Radu Corcodel; François Germain; Chiori Hori; Siddarth Jain; Devesh K. Jha; Toshiaki Koike-Akino; Jonathan Le Roux; Yanting Ma; Hassan Mansour; Yoshiki Masuyama; Joshua Rapp; Diego Romeres; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern
      Research Areas: Artificial Intelligence, Communications, Computational Sensing, Electronic and Photonic Devices, Machine Learning, Robotics, Signal Processing, Speech & Audio
      Brief
      • MERL has made numerous contributions to both the organization and technical program of ICASSP 2025, which is being held in Hyderabad, India from April 6-11, 2025.

        Sponsorship

        MERL is proud to be a Silver Patron of the conference and will participate in the student job fair on Thursday, April 10. 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. Björn Erik Ottersten, the recipient of the 2025 IEEE Fourier Award for Signal Processing, and Prof. Shrikanth Narayanan, the recipient of the 2025 IEEE James L. Flanagan Speech and Audio Processing Award. Both awards will be presented in-person at ICASSP by Anthony Vetro, MERL President & CEO.

        Technical Program

        MERL is presenting 15 papers in the main conference on a wide range of topics including source separation, sound event detection, sound anomaly detection, speaker diarization, music generation, robot action generation from video, indoor airflow imaging, WiFi sensing, Doppler single-photon Lidar, optical coherence tomography, and radar imaging. Another paper on spatial audio will be presented at the Generative Data Augmentation for Real-World Signal Processing Applications (GenDA) Satellite Workshop.

        MERL Researchers Petros Boufounos and Hassan Mansour will present a Tutorial on “Computational Methods in Radar Imaging” in the afternoon of Monday, April 7.

        Petros Boufounos will also be giving an industry talk on Thursday April 10 at 12pm, on “A Physics-Informed Approach to Sensing".

        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 has been attracting more than 4000 participants each year.
    •  
    •  TALK    [MERL Seminar Series 2025] Qing Qu presents talk titled The Emergence of Generalizability and Semantic Low-Dim Subspaces in Diffusion Models
      Date & Time: Wednesday, March 5, 2025; 12:00 PM
      Speaker: Qing Qu, University of Michigan
      MERL Host: Pu (Perry) Wang
      Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Signal Processing
      Abstract
      • Recent empirical studies have shown that diffusion models possess a unique reproducibility property, transiting from memorization to generalization as the number of training samples increases. This demonstrates that diffusion models can effectively learn image distributions and generate new samples. Remarkably, these models achieve this even with a small number of training samples, despite the challenge of large image dimensions, effectively circumventing the curse of dimensionality. In this work, we provide theoretical insights into this phenomenon by leveraging two key empirical observations: (i) the low intrinsic dimensionality of image datasets and (ii) the low-rank property of the denoising autoencoder in trained diffusion models. With these setups, we rigorously demonstrate that optimizing the training loss of diffusion models is equivalent to solving the canonical subspace clustering problem across the training samples. This insight has practical implications for training and controlling diffusion models. Specifically, it enables us to precisely characterize the minimal number of samples necessary for accurately learning the low-rank data support, shedding light on the phase transition from memorization to generalization. Additionally, we empirically establish a correspondence between the subspaces and the semantic representations of image data, which enables one-step, transferrable, efficient image editing. Moreover, our results have profound practical implications for training efficiency and model safety, and they also open up numerous intriguing theoretical questions for future research.
    •  

    See All News & Events for Perry

  • 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.
    •  
    See All Awards for MERL

  • Research Highlights

  • Internships with Perry

    • ST0116: Internship - 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, pose estimation, segmentation, multiple object tracking (MOT), and representation learning on radar data is required. Previous hands-on experience with open indoor and outdoor radar datasets is a plus. Familiarity with basic radar concepts and MERL's recent work in radar perception is an asset. The intern will work closely with MERL researchers to develop novel algorithms, design experiments with MERL in-house testbed, and prepare results for patents and publication. The internship is expected to last 3 months with a preferred start date after June 2025.

      Required Specific Experience

      • Solid understanding of state-of-the-art perception frameworks including transformer-based (e.g., DETR) and diffusion-based (e.g., DiffusionDet) methods.
      • Hands-on experience with open large-scale radar datasets such as MMVR, HIBER, RADIATE, and K-Radar.
      • Proficiency in Python and experience with job scheduling on GPU clusters using tools like Slurm.
      • Proven publication records in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS.
      • Knowledge of basic radar concepts such as FMCW, MIMO, (micro-) Doppler signature, radar point clouds, heatmaps, and raw ADC waveforms.
      • Familiarity with MERL's recent radar perception research such as TempoRadar, SIRA, MMVR, and RETR.

    See All Internships at MERL

  • MERL Publications

    •  Attiah, K., Wang, P., Mansour, H., Koike-Akino, T., Boufounos, P.T., "Enabling DMG Wi-Fi Sensing in Data Transmission Intervals by Exploiting Beam Training Codebook", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2025.
      BibTeX TR2025-026 PDF
      • @inproceedings{Attiah2025mar,
      • author = {Attiah, Kareem and Wang, Pu and Mansour, Hassan and Koike-Akino, Toshiaki and Boufounos, Petros T.},
      • title = {{Enabling DMG Wi-Fi Sensing in Data Transmission Intervals by Exploiting Beam Training Codebook}},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2025,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2025-026}
      • }
    •  Yataka, R., Wang, P., Boufounos, P.T., Takahashi, R., "Multi-View Radar Detection Transformer with Differentiable Positional Encoding", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2025.
      BibTeX TR2025-027 PDF
      • @inproceedings{Yataka2025mar,
      • author = {Yataka, Ryoma and Wang, Pu and Boufounos, Petros T. and Takahashi, Ryuhei},
      • title = {{Multi-View Radar Detection Transformer with Differentiable Positional Encoding}},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2025,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2025-027}
      • }
    •  Chen, X., Wang, Y., Brand, M., Wang, P., Liu, J., Koike-Akino, T., "Slaying the HyDRA: Parameter-Efficient Hyper Networks with Low-Displacement Rank Adaptation", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
      BibTeX TR2024-157 PDF Presentation
      • @inproceedings{Chen2024dec,
      • author = {Chen, Xiangyu and Wang, Ye and Brand, Matthew and Wang, Pu and Liu, Jing and Koike-Akino, Toshiaki},
      • title = {{Slaying the HyDRA: Parameter-Efficient Hyper Networks with Low-Displacement Rank Adaptation}},
      • booktitle = {Workshop on Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning at Neural Information Processing Systems (NeurIPS)},
      • year = 2024,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2024-157}
      • }
    •  Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., Wang, G., Koike-Akino, T., "SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models", British Machine Vision Conference (BMVC), November 2024.
      BibTeX TR2024-156 PDF Presentation
      • @inproceedings{Chen2024nov,
      • 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 Large Foundation Models}},
      • booktitle = {British Machine Vision Conference (BMVC)},
      • year = 2024,
      • month = nov,
      • publisher = {British Machine Vision Association},
      • url = {https://www.merl.com/publications/TR2024-156}
      • }
    •  Yataka, R., Cardace, A., Wang, P., Boufounos, P.T., Takahashi, R., "RETR: Multi-View Radar Detection Transformer for Indoor Perception", Advances in Neural Information Processing Systems (NeurIPS), A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang, Eds., November 2024, pp. 19839-19869.
      BibTeX TR2024-159 PDF Software
      • @inproceedings{Yataka2024nov3,
      • author = {Yataka, Ryoma and Cardace, Adriano and Wang, Pu and Boufounos, Petros T. and Takahashi, Ryuhei},
      • title = {{RETR: Multi-View Radar Detection Transformer for Indoor Perception}},
      • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
      • year = 2024,
      • editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang},
      • pages = {19839--19869},
      • month = nov,
      • publisher = {Curran Associates, Inc.},
      • url = {https://www.merl.com/publications/TR2024-159}
      • }
    See All MERL Publications for Perry

  • 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 Detecting an Object in a Scene"
      Inventors: Wang, Pu; Jin, Sian; Boufounos, Petros T.; Orlik, Philip V.
      Patent No.: 12,248,054
      Issue Date: Mar 11, 2025
    • Title: "Suspendable CSMA/CA for IEEE 802.15.4 System to Reduce Packet Discard Caused by Backoff Failure"
      Inventors: Guo, Jianlin; Nagai, Yukimasa; Sumi, Takenori; Parsons, Kieran; Orlik, Philip V.; Wang, Pu
      Patent No.: 12,213,177
      Issue Date: Jan 28, 2025
    • Title: "System and method for mutual interference mitigation of FMCW automotive radar"
      Inventors: Wang, Pu; Jin, Sian
      Patent No.: 12,210,114
      Issue Date: Jan 28, 2025
    • Title: "Coherent Optical Sensor with Sparse Illumination"
      Inventors: Millar, David; Atalar, Okan; Kojima, Keisuke; Koike-Akino, Toshiaki; Wang, Pu; Parsons, Kieran
      Patent No.: 12,154,194
      Issue Date: Nov 26, 2024
    • Title: "System and Method for Radar Object Recognition with Cross-Frame Temporal Relationality"
      Inventors: Wang, Pu; Li, Peizhao; Berntorp, Karl
      Patent No.: 12,105,185
      Issue Date: Oct 1, 2024
    • Title: "Active Cross-Technology Neighbor Discovery"
      Inventors: Guo, Jianlin; Wang, Pu; Parsons, Kieran; Orlik, Philip V.; Nagai, Yukimasa; Sumi, Takenori
      Patent No.: 12,063,707
      Issue Date: Aug 13, 2024
    • Title: "Bluetooth-based Spatial-Temporal Localization"
      Inventors: Wang, Pu; Yu, Jianyuan; Koike-Akino, Toshiaki; Orlik, Philip V.
      Patent No.: 12063620
      Issue Date: Aug 13, 2024
    • Title: "System and Method for Active Carrier Sense Based CSMA/CA for IEEE 802.15.4 System to Avoid Packet Discard Caused by Interference"
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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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      Issue Date: Mar 20, 2012
    See All Patents for MERL