研究者業績

芦野 隆一

アシノ リュウイチ  (Ryuichi Ashino)

基本情報

所属
大阪教育大学 理数情報教育系 教授
学位
Master of Sciences(Osaka City University)
理学修士(大阪市立大学)
Doctor of Sciences(Kyoto University)
理学博士(京都大学)

研究者番号
80249490
J-GLOBAL ID
200901034094044146
researchmap会員ID
1000135629

外部リンク

学歴

 2

論文

 168
  • Takeshi Mandai, Ryuichi Ashino, Akira Morimoto
    Trends in Mathematics 703-713 2023年10月31日  
  • Ryuichi Ashino, Takeshi Mandai, Akira Morimoto
    Japan Journal of Industrial and Applied Mathematics 2023年4月26日  
  • Mawardi Bahri, Ryuichi Ashino
    INFORMATION 24(2) 85-92 2021年6月  査読有り
  • Mawardi Bahri, Amir Kamal Amir, Ryuichi Ashino
    International Journal of Wavelets, Multiresolution and Information Processing 19(6) 2150027-1-2150027-19 2021年  査読有り
    This paper deals with the linear canonical wavelet transform. It is a non-trivial generalization of the ordinary wavelet transform in the framework of the linear canonical transform. We first present a direct relationship between the linear canonical wavelet transform and ordinary wavelet transform. Based on the relation, we provide an alternative proof of the orthogonality relation for the linear canonical wavelet transform. Some of its essential properties are also studied in detail. Finally, we explicitly derive several versions of inequalities associated with the linear canonical wavelet transform.
  • Mawardi Bahri, Ryuichi Ashino
    Sensor Networks and Signal Processing Proceedings of the 2nd Sensor Networks and Signal Processing (SNSP 2019), 19-22 (176) 311-323 2020年7月17日  査読有り
    In our previous work, we established some basic poverties of the linear canonical transform and obtained alternative form of convolution and correlation theorems. In this paper, we study essential properties of the linear canonical transform (LCT). The properties are modifications of the classical Fourier transform properties. They are very need in applying LCT in signal processing. In addition, we formulate an inequality associated with the LCT, which is different from the uncertainty principle in literature.

MISC

 16

書籍等出版物

 16

講演・口頭発表等

 5
  • Ryuichi Ashino
    ISAAC Congress 2021年8月6日 International Society for Analysis, Applications and Computation (ISAAC)  招待有り
  • Ryuichi Ashino
    The 10th International Conference on Information 2021年3月6日 International Information Institute  招待有り
  • 芦野隆一
    日本応用数理学会 2021年3月5日 日本応用数理学会
    分数冪フーリエ変換に関する不確定性原理のいくつかの結果を発表する
  • Ryuichi Ashino
    The Third International Conference on Mathematical Characterization, Analysis and Applications of Complex Information (CMCAA 2020) Sept 11th - Sept 13th 2020, Beijing, China 2020年9月13日 Beijing Natural Science Foundation Beijing Key Lab on Mathematical Characterization, Analysis, and Applications of Complex Information.  招待有り
    Provide a platform for researchers to present and discuss the latest developments and trends in theory and methods in dealing with complex information.
  • Mawardi Bahri, Ryuichi Ashino
    2019 International Conference on Machine Learning and Intelligent Systems (MLIS 2019) 2019年11月19日 National Dong Hwa University  招待有り
    The event is aimed at providing a platform for knowledge exchange of the most recent scientific and technological advances and to strengthen the links in the scientific community. The plenary session of MLIS 2019 will include Keynote Speeches, Invited Speeches, Poster Presentations and Oral Presentations.

共同研究・競争的資金等の研究課題

 31

メディア報道

 1