Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ken Nakamuro"'
Autor:
Vincenzo Sesta, Fabio Severini, Federica Villa, Rudi Lussana, Franco Zappa, Ken Nakamuro, Yuki Matsui
Publikováno v:
Sensors, Vol 21, Iss 9, p 2936 (2021)
Light Detection and Ranging (LiDAR) is a widespread technique for 3D ranging and has widespread use in most automated systems that must interact with the external environment, for instance in industrial and security applications. In this work, we stu
Externí odkaz:
https://doaj.org/article/bd2ec1248d7344b89cf5ac9714c629fa
Autor:
Ken Nakamuro, Fabio Severini, Vincenzo Sesta, Franco Zappa, Rudi Lussana, Yuki Matsui, Federica Villa
Publikováno v:
Sensors
Volume 21
Issue 9
Sensors, Vol 21, Iss 2936, p 2936 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 9
Sensors, Vol 21, Iss 2936, p 2936 (2021)
Sensors (Basel, Switzerland)
Light Detection and Ranging (LiDAR) is a widespread technique for 3D ranging and has widespread use in most automated systems that must interact with the external environment, for instance in industrial and security applications. In this work, we stu
Publikováno v:
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2005:26-31
Publikováno v:
Transactions of the Institute of Systems, Control and Information Engineers. 18:171-177
A novel Auto Regressive (AR) model parameter estimation method is proposed, which can utilize a prior information as well as time series data, by extending the Burg method on the basis of the Minimum Cross Entropy (MCE) principle. As a practical appl
Publikováno v:
Proceedings of the 41st SICE Annual Conference. SICE 2002..
The minimum cross entropy (MCE) spectral analysis method is able to incorporate a prior information of spectra into the spectral analysis. Applying the principle of the MCE, the authors proposed a continuous spectral estimation method (C-MCEM) for st