MERL - Mitsubishi Electric Research Laboratories

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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.

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  • Researchers

  • Awards

    •  AWARD   Outstanding Presentation Award at the 28th Conference of Information Processing Society of Japan/Consumer Device & Systems
      Date: October 20, 2020
      Awarded to: Yukimasa Nagai, Takenori Sumi, Jianlin Guo, Philip Orlik, Hiroshi Mineno
      MERL Contacts: Jianlin Guo; Philip Orlik
      Research Areas: Communications, Optimization, Signal Processing
      Brief
      • MELCO and MERL researchers have won "Outstanding Presentation Award" at 28th Conference of Information Processing Society of Japan (IPSJ)/Consumer Device & Systems held on September 29-30, 2020. The paper titled "IEEE 802.19.3 Standardization for Coexistence of IEEE 802.11ah and IEEE 802.15.4g Systems in Sub-1 GHz Frequency Bands" reports IEEE 802.19.3 standard development on coexistence between IEEE 802.11ah and IEEE 802.15.4g systems in the Sub-1 GHz frequency bands. MERL and MELCO have been leading this standard development and made major technical contributions, which propose methods to mitigate interference in smart meter systems. The authors are Yukimasa Nagai, Takenori Sumi, Jianlin Guo, Philip Orlik and Hiroshi Mineno.
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    •  AWARD   Best Paper AWARD at International Workshop on Informatics (IWIN) 2020
      Date: September 11, 2020
      Awarded to: Yukimasa Nagai, Jianlin Guo, Takenori Sumi, Philip Orlik, Hiroshi Mineno
      MERL Contact: Jianlin Guo
      Research Areas: Communications, Signal Processing
      Brief
      • MELCO and MERL researchers have won one of two Best Paper Awards at International Workshop on Informatics (IWIN) 2020. The paper titled 'Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g', reports research on the severity of interference between IEEE 802.11ah and IEEE 802.15.4g based networks and also proposes methods to mitigate this interference in smart meter systems. This research reported in this paper has also informed several of MELCO/MERL's contributions to the IEEE P802.19.3 task group which is developing standards to allow for improved coexistence in outdoor metering systems. Authors are Yukimasa Nagai, Jianlin Guo, Takenori Sumi, Philip Orlik and Hiroshi Mineno.
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    •  AWARD   Best Student Paper Award at the IEEE Conference on Control Technology and Applications
      Date: August 26, 2020
      Awarded to: Marcus Greiff, Anders Robertsson, Karl Berntorp
      MERL Contact: Karl Berntorp
      Research Areas: Control, Signal Processing
      Brief
      • Marcus Greiff, a former MERL intern from the Department of Automatic Control, Lund University, Sweden, won one of three 2020 CCTA Outstanding Student Paper Awards and the Best Student Paper Award at the 2020 IEEE Conference on Control Technology and Applications. The research leading up to the awarded paper titled 'MSE-Optimal Measurement Dimension Reduction in Gaussian Filtering', concerned how to select a reduced set of measurements in estimation applications while minimally degrading performance, was done in collaboration with Karl Berntorp at MERL.
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  • News & Events

    •  NEWS   Karl Berntorp gave an invited lecture at the Department of Electrical Engineering at Linkoping University
      Date: October 8, 2020
      Where: Linkoping University
      MERL Contact: Karl Berntorp
      Research Areas: Control, Dynamical Systems, Robotics, Signal Processing
      Brief
      • MERL researcher Karl Berntorp was invited to give a lecture in the class "Autonomous vehicles – planning, control, and learning systems" at the Division of Vehicular Systems, Department of Electrical Engineering, Linkoping University. The course is for the engineering-program students at Linkoping University and gives a basic understanding of the available models, methods, and software libraries to work on autonomous vehicles, with particular focus on motion-planning and control methods. The invited lecture described the different system components and design of motion planning and predictive control methods targeted to autonomous driving.
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    •  NEWS   MERL Scientists Presenting 5 Papers at IEEE International Conference on Communications (ICC) 2020
      Date: June 7, 2020 - June 11, 2020
      Where: Dublin, Ireland
      MERL Contacts: Kyeong Jin (K.J.) Kim; Toshiaki Koike-Akino; Ye Wang
      Research Areas: Communications, Machine Learning, Signal Processing, Digital Video
      Brief
      • Due to COVID-19, MERL Network Intelligence Team scientists remotely presented 5 papers at the IEEE International Conference on Communications (ICC) 2020, that was scheduled to be held in Dublin Ireland from June 7-11, 2020. Topics presented include recent advances in deep learning methods for communications and new access systems. Presentation videos are also found on our YouTube channel. Our developed technologies can facilitate a great advancement in broadband virtual conferencing which is required in post-COVID-19 society.

        IEEE ICC is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers submit proposals for program sessions to be held at the annual conference. The high-quality proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.
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  • Research Highlights

  • Internships

    • SP1409: Coherent optical transmission systems

      MERL is seeking an intern to work on systems and subsystems for coherent optical fiber transmission. The ideal candidate would be an experienced PhD student or post-graduate researcher working in optical communications. The candidate should have a detailed knowledge of optical communications systems at the physical layer and digital signal processing for digital coherent communication, with a focus on optical fiber communication. Strong programming skills in Matlab are essential. Experience of working in a lab environment would be advantageous. Duration is 3 to 6 months.

    • SP1307: Vehicular traffic environment sensing

      MERL is seeking a highly motivated, qualified intern to join a three month internship program. The ideal candidate will be expected to carry out research on environmental sensing in high frequency bands. The candidate is expected to develop innovative sensing technologies. Candidates should have strong knowledge about neural network and learning techniques, such as machine learning, deep learning, shallow learning, and distributed learning. In addition, understanding of spectrum sensing and wireless communications technologies is necessary. Proficient programming skills with Python, Matlab, and C++, and strong mathematical analysis will be additional assets to this position. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • SP1460: Advanced Vehicular Technologies

      MERL is seeking a highly motivated, qualified intern to collaborate with the Signal Processing group and the Control for Autonomy team in developing technologies for Connected Automated Vehicles. The ideal candidate is expected to be involved in research on collaborative learning between infrastructure and vehicles. The candidate is expected to develop learning-based technologies to achieve vehicle coordination, estimation and GNSS-based localization using data and computation sharing between vehicle and infrastructure. The candidates should have knowledge of machine learning, connected vehicles and V2X communications. Knowledge of one or more traffic and/or multi-vehicle simulators (SUMO, Vissim, etc.) and GNSS is a plus. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply. The expected duration of the internship is 3-6 months, with start date in September/October 2020.


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  • Recent Publications

    •  Tang, Y., Kojima, K., Koike-Akino, T., Wang, Y., Wu, P., TaherSima, M., Jha, D., Parsons, K., Qi, M., "Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices", Lasers and Photonics Reviews, DOI: 10.1002/lpor.202000287, Vol. 2020, pp. 2000287, October 2020.
      BibTeX TR2020-135 PDF
      • @article{Tang2020oct,
      • author = {Tang, Yingheng and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Wu, Pengxiang and TaherSima, Mohammad and Jha, Devesh and Parsons, Kieran and Qi, Minghao},
      • title = {Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices},
      • journal = {Lasers and Photonics Reviews},
      • year = 2020,
      • volume = 2020,
      • pages = 2000287,
      • month = oct,
      • doi = {10.1002/lpor.202000287},
      • url = {https://www.merl.com/publications/TR2020-135}
      • }
    •  Nagai, Y., Sumi, T., Guo, J., Orlik, P.V., Mineno, H., "Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g", Consumer Device System 28th Research Presentation, September 2020.
      BibTeX TR2020-133 PDF
      • @inproceedings{Nagai2020sep,
      • author = {Nagai, Yukimasa and Sumi, Takenori and Guo, Jianlin and Orlik, Philip V. and Mineno, Hiroshi},
      • title = {Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g},
      • booktitle = {Consumer Device System 28th Research Presentation},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-133}
      • }
    •  Xia, Y., Wang, P., Berntorp, K., Boufounos, P.T., Orlik, P.V., Svensson, L., Granstrom, K., "Extended Object Tracking with Automotive Radar Using Learned Structural Measurement Model", IEEE Radar Conference (RadarCon), September 2020.
      BibTeX TR2020-131 PDF
      • @inproceedings{Xia2020sep,
      • author = {Xia, Yuxuan and Wang, Pu and Berntorp, Karl and Boufounos, Petros T. and Orlik, Philip V. and Svensson, Lennart and Granstrom, Karl},
      • title = {Extended Object Tracking with Automotive Radar Using Learned Structural Measurement Model},
      • booktitle = {IEEE Radar Conference (RadarCon)},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-131}
      • }
    •  Kojima, K., Tang, Y., Koike-Akino, T., Wang, Y., Jha, D., Parsons, K., TaherSima, M., Sang, F., Klamkin, J., Qi, M., "Inverse Design of Nanophotonic Devices using Deep Neural Networks", Asia Communications and Photonics Conference (ACP), September 2020.
      BibTeX TR2020-130 PDF
      • @inproceedings{Kojima2020sep,
      • author = {Kojima, Keisuke and Tang, Yingheng and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh and Parsons, Kieran and TaherSima, Mohammad and Sang, Fengqiao and Klamkin, Jonathan and Qi, Minghao},
      • title = {Inverse Design of Nanophotonic Devices using Deep Neural Networks},
      • booktitle = {Asia Communications and Photonics Conference (ACP)},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-130}
      • }
    •  Han, M., Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction", IEEE Signal Processing Letters, DOI: 10.1109/LSP.2020.3020215, Vol. 27, pp. 1565-1569, September 2020.
      BibTeX TR2020-128 PDF
      • @article{Han2020sep,
      • author = {Han, Mo and Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
      • title = {Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction},
      • journal = {IEEE Signal Processing Letters},
      • year = 2020,
      • volume = 27,
      • pages = {1565--1569},
      • month = sep,
      • doi = {10.1109/LSP.2020.3020215},
      • issn = {1558-2361},
      • url = {https://www.merl.com/publications/TR2020-128}
      • }
    •  Guo, J., Nagai, Y., Sumi, T., Orlik, P.V., Yamauchi, T., "Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g", International Workshop on Informatics (IWIN), September 2020.
      BibTeX TR2020-127 PDF
      • @inproceedings{Guo2020sep,
      • author = {Guo, Jianlin and Nagai, Yukimasa and Sumi, Takenori and Orlik, Philip V. and Yamauchi, Takahisa},
      • title = {Hybrid CSMA/CA for Sub-1 GHz Frequency Band Coexistence of IEEE 802.11ah and IEEE 802.15.4g},
      • booktitle = {International Workshop on Informatics (IWIN)},
      • year = 2020,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2020-127}
      • }
    •  Greiff, M., Robertsson, A., Berntorp, K., "MSE-optimal measurement dimension reduction in Gaussian filtering*", Conference on Control Technology and Applications (CCTA), August 2020.
      BibTeX TR2020-124 PDF
      • @inproceedings{Greiff2020aug,
      • author = {Greiff, Marcus and Robertsson, Anders and Berntorp, Karl},
      • title = {MSE-optimal measurement dimension reduction in Gaussian filtering*},
      • booktitle = {Conference on Control Technology and Applications (CCTA)},
      • year = 2020,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2020-124}
      • }
    •  Wang, Y., Satake, A., Furutani, S., Sano, S., "Stable Adaptive Estimation for Speed-sensorless Induction Motor Drives: A Geometric Approach", International Conference on Electrical Machines (ICEM), August 2020.
      BibTeX TR2020-122 PDF
      • @inproceedings{Wang2020aug,
      • author = {Wang, Yebin and Satake, Akira and Furutani, Shinichi and Sano, Sota},
      • title = {Stable Adaptive Estimation for Speed-sensorless Induction Motor Drives: A Geometric Approach},
      • booktitle = {International Conference on Electrical Machines (ICEM)},
      • year = 2020,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2020-122}
      • }
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