Yoshinobu Kajikawa, Professor

Kansai University
Faculty of Engineering Science

Email: kaji[at]kansai-u.ac.jp


Yoshinobu Kajikawa received the B.Eng. and M.Eng. degrees in electrical engineering from Kansai University, Osaka, Japan, and the D.E. degree in communication engineering from Osaka University in 1991, 1993, and 1997, respectively. He joined Fujitsu Ltd., Kawasaki, Japan, in 1993 and engaged in research on active noise control. In 1994, he joined Kansai University, where he is now a Professor. His current research interests lie in the area of signal processing for acoustic and communication systems. He is a senior member of IEICE and IEEE, and a member of EURASIP, APSIPA, INCEJ, ASA and ASJ. He served as an associate editor for the Transactions of the IEICE on Fundamentals of Electronics, Communications and Computer Sciences from 2006 to 2009. He is currently serving as a vice president of IEICE Enginering Scicent Society, the chair of IEICE System and Signal Processing Sub-society, an associate editor of the Journal of the ASJ, the chair of the Chapter Operations Committee of IEEE Kansai Section, the chair of the IEEE Signal Processing Society Kansai Chapter, a member-at-large, board of governors (BoG) of APSIPA, the Secretary of IEEE Japan Council Student Activities Committee and a member of the TCs on Signal Processing and biometrics, IEICE. He is the author or co-author of more than 180 articles in journals and conference proceedings and has been responsible for 5 patents. He received the 2012 Sato Prize Paper Award from the ASJ and the best paper award in APCCAS2014.

Research Areas

Signal Processing for Audio and Acoustic Systems

  • Active Noise Control (DSP Implementation, MRI Noise, ANC without Secondary Path Model, Parametric Array Loudspeakers)
  • Linearization of Acoustic Devices (Volterra Filter, Mirror Filter, Compact Acoustic Devices, Parametric Array Loudspeakers)
  • Sound Field Reproduction (Transaural System, Head-Mounted System, DSP Implementation, Finite Difference Time Domain (FDTD), Parametric Array Loudspeakers)

Acoustic Device Design

  • Acoustic Design Supporting System for Compact Acoustic Devices (Mobilephones, Smartphones, Finite Element Method (FEM), Transducer, Finite Difference Time Domain (FDTD), Genetic Algorithm, Deep Neural Networks)


  • Personal Authentication Systems (Biometrics, Ear Related Trasfer Functions, Machine Learning, Deep Neural Networks)

Research Activities

Last Update: 2016/05/25