Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Yutaka Jitsumatsu"'
Autor:
Yutaka Jitsumatsu
Publikováno v:
Nonlinear Theory and Its Applications, IEICE. 12:75-87
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :295-304
Autor:
Yutaka Jitsumatsu, Yasutada Oohama
Publikováno v:
IEEE Transactions on Information Theory. 66:1585-1606
Dueck and Korner’s reliability function for discrete memoryless channels for rates above the capacity coincides with Arimoto’s exponent of correct decoding probability. The two exponent functions are described by seemingly different optimization
Autor:
Dongshin Yang, Yutaka Jitsumatsu
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :2141-2148
Autor:
Dongshin Yang, Yutaka Jitsumatsu
Publikováno v:
Nonlinear Theory and Its Applications, IEICE. 9:259-267
Autor:
Yutaka Jitsumatsu, Dongshin Yang
Publikováno v:
ISITA
One of the important tasks in wireless communications is propagation delay estimation. It has been found that the channel estimation accuracy of compressed sensing is superior to the existing method based on signal parameter estimation through MUltip
Autor:
Yutaka Jitsumatsu, Michiwaki Ukyo
Publikováno v:
ISITA
Hayashi and Matsumoto gave two lower bounds for the secrecy exponent for wiretap channels in 2011 and 2016. They proved that the latter exponent function is greater than or equal to the former one for any positive rate, input distribution and conditi
Autor:
Kazuya Matsumura, Yutaka Jitsumatsu
Publikováno v:
Nonlinear Theory and Its Applications, IEICE. 7:38-55
Autor:
Masao Hotta, Hao San, Kazuyuki Aihara, Katsutoshi Shinohara, Yukiko Iwata, Takaki Makino, Yutaka Jitsumatsu
Publikováno v:
Nonlinear Theory and Its Applications, IEICE. 6:99-111
Autor:
Yutaka Jitsumatsu, Dongshin Yang
Publikováno v:
2017 18th International Radar Symposium (IRS).
Compressive sensing (CS) for radar signal processing is known to be capable of various applications. This signal processing technique shows excellent performance for detecting objects. However, the grid problem of CS is an obstacle to more precise pe