Kohei Terashima
Papers
1
Total Citations
3
H-Index
1
About
Kohei Terashima is a researcher whose work sits at the intersection of signal processing and motor control, with a focus on advancing the efficiency and design of electric motors—a critical area given that motors account for over 40% of global power consumption. His key contributions lie in developing novel methods for vibration frequency detection in stepping motors, a vital task for optimizing motor performance in applications ranging from electric vehicles to robotics and IoT devices. In his most cited work, Terashima introduced a finite-order Hilbert transformer implemented via a variable FIR filter with transmission zeros, offering a more precise alternative to conventional Fast Fourier Transform-based approaches. This innovation enables more accurate real-time vibration analysis, directly supporting the design of quieter, more efficient motors. While his citation count is still growing, his work addresses a pressing global challenge in energy efficiency and positions him as an emerging voice in the intersection of digital signal processing and electromechanical systems. His research is particularly relevant for students and engineers working on smart motor systems and advanced filter design.
Research Focus
Key Achievements
Top Papers
- 1