Kinugasa Laboratory 

Principal Investigator

Yasutomo Kinugasa, Ph.D.
Associate Professor / Head of the Kinugasa Laboratory

Dr. Kinugasa received his Ph.D. in Engineering from Tottori University. After that, he joined the National Institute of Technology (KOSEN), Matsue College, where he now leads the Kinugasa Laboratory. He directs the laboratory's research program in adaptive signal processing and analog filter circuits, and supervises research students in the Department of Electrical Engineering and Computer Science and the Advanced Course of Electronic and Information Systems.

researchmap | J-GLOBAL | Email: kinugasa@matsue-ct.ac.jp

Research Overview

A sinusoidal component hidden in a measured signal, whether it is noise, interference, or a periodic disturbance, can seriously degrade the performance of measurement and control systems. When its frequency is unknown or drifts over time, a fixed filter cannot remove it.

Our laboratory develops adaptive filters that track such components and remove them in real time. We pursue three goals: faster convergence, smaller estimation bias, and reliable operation even when the input signal is colored or noisy.

Research Themes

Theme 1 — Removing Multiple Sinusoids
When several sinusoidal components are present at once, the filter structure largely determines both accuracy and speed. We design adaptive notch filters based on cascaded allpass-type and subband (IIR/SSCF-based) configurations.

Theme 2 — Faster and More Accurate Convergence
We improve how quickly and how accurately adaptive notch filters settle, using step-size design, convergence-criterion indices, and pole-placement-based methods. Variable step-size methods are used to accelerate frequency estimation, including for colored input signals.

Theme 3 — From Algorithms to Applications
We extend these techniques to adaptive line enhancers for noise-robust disturbance elimination, active noise control, adaptive equalizers, and pre-inverse adaptive systems, including applications to motor control.

Theme 4 — Analog Filter Circuits
Complementing our digital work, we design current-mode active filters using CCII and DVCC devices.

Also in our lab — Engineering Education
We develop IoT-based programs for training future engineers.

How we work: Each study begins with algorithm design, continues through theoretical analysis of convergence and bias, and is verified by numerical simulation.

Lab Members 2026
Department of Electrical Engineering and Computer Science: 4 students
Lab member as a start-up seminar: 2 students
Advanced Course of Electronic and Information Systems: 1 student

Publications

Journal Papers

• Y. Ashida, M. Katayama, and Y. Kinugasa, "Control of a System with Periodic Disturbance using Disturbance Observer and Line Enhancer," IEEJ Transactions on Electronics, Information and Systems, Vol. 144, No. 4, pp. 380–386, 2024. (in Japanese)

• M. Kobayashi, N. Sasaoka, Y. Kinugasa, K. Shiogai, and Y. Itoh, "Multiple SSCF-IIR Adaptive Notch Filter," IEEJ Transactions on Sensors and Micromachines, Vol. 138, No. 7, pp. 934–940, 2018. (in Japanese)

• Y. Kinugasa, Y. Itoh, M. Kobayashi, J. Okello, and Y. Fukui, "A Study on the Step Size of Cascaded Adaptive Notch Filter Utilizing Allpass Filter," IEEJ Transactions on Electronics, Information and Systems, Vol. 123, No. 4, pp. 742–747, 2003. (in Japanese)

International Conference Papers

• Y. Kinugasa, T. Saramäki, Y. Itoh, N. Sasaoka, K. Shiogai, and M. Kobayashi, "Modified Subband Adaptive Notch Filters for Eliminating Multiple Sinusoids with Reduced Bias and Faster Convergence," Proc. IEEE ISCAS, pp. 2327–2330, 2017.

• K. Shiogai, N. Sasaoka, Y. Itoh, Y. Kinugasa, and M. Kobayashi, "Fast Convergence Adaptive IIR Notch Filter Using Allpass Filter and Adaptive Line Enhancer," Proc. ISPACS, pp. 279–284, 2013.

• K. Shiogai, N. Sasaoka, Y. Itoh, Y. Kinugasa, and M. Kobayashi, "Bias Free Adaptive Exponential Notch Filter with Low Constant Delay," Proc. IEEE ISCAS, pp. 790–793, 2012.

• Y. Kinugasa, Y. Itoh, M. Kobayashi, Y. Fukui, and J. Okello, "A Study on the Step Size of Cascaded Adaptive Notch Filter Utilizing Allpass Filter," Proc. IEEE ISCAS, pp. 401–404, 2003.

For a complete list, see researchmap.

Research Funding

• JSPS KAKENHI, Grant-in-Aid for Scientific Research (B), 2022–2025
  "Study of advanced engineering educational materials based on IoT technology education"
  Co-Investigator (Principal Investigator: A. Toya)

• JSPS KAKENHI, Grant-in-Aid for Scientific Research (C), 2005–2007
  "Smart Noise Reduction System"
  Co-Investigator (Principal Investigator: Y. Itoh)

Access

National Institute of Technology (KOSEN), Matsue College
14-4 Nishiikuma-cho, Matsue, Shimane, Japan