Hiroyoshi Yamada
Hokkaido University
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Featured researches published by Hiroyoshi Yamada.
IEEE Transactions on Antennas and Propagation | 1991
Hiroyoshi Yamada; Manabu Ohmiya; Yasutaka Ogawa; Kiyohiko Itoh
Superresolution techniques for time delay estimation are proposed and applied to frequency-domain data measured with a network analyzer. A MUSIC (multiple signal classification) algorithm preprocessed by spatial smoothing is used. The spatial smoothing preprocessing is performed to destroy signal coherence, and the decorrelation performance is examined in detail. The expression which gives an individual response is given. Using this expression, it is possible to eliminate unwanted signals that appear as ripples in the frequency domain. Experimental results show that the frequency bandwidth required by the MUSIC algorithm to resolve distinct time-domain responses and eliminate unwanted signals is much narrower than that required by the FFT (fast Fourier transform). Thus, the MUSIC algorithm is applicable to the time-domain measurements with the network analyzer and has much higher resolution capability than the conventional FFT techniques. The MUSIC algorithm is one of the most promising methods of enhancing the accuracy of measurement for narrowband devices such as antennas. >
ieee antennas and propagation society international symposium | 1991
Yasutaka Ogawa; Hiroyoshi Yamada; Kiyohiko Itoh
The authors show that the superresolution technique can be used for antenna measurements and scattering studies. They describe experimental results of antenna measurements and simulation results of electromagnetic scattering mechanism extraction using MUSIC. It is shown that, using MUSIC, one can isolate the individual scattering centers and can obtain each diffraction coefficient using much narrower bandwidth data than the FFT (fast Fourier transform) and gating techniques.<<ETX>>
international symposium on antennas and propagation | 1990
Yasutaka Ogawa; Hiroyoshi Yamada; Manabu Ohmiya; Kiyohiko Itoh
The superresolution technique is applied to frequency-domain data measured with a network analyzer, and the high-resolution capability is shown by experimental results. A MUSIC (multiple signal classification) algorithm is used because it has several advantages. Experimental results demonstrate that the superresolution technique has a much better capability of resolving signals and analyzing parameters (e.g., the reflection coefficient) than the FFT and the gating technique. The superresolution technique is expected to be useful for time-domain measurements of narrowband devices such as antennas.<<ETX>>
Journal of the American Chemical Society | 1990
Mikiko Sodeoka; Hiroyoshi Yamada; Masakatsu Shibasaki
Journal of Organic Chemistry | 1991
Hiroyoshi Yamada; Mikiko Sodeoka; Masakatsu Shibasaki
Journal of Organic Chemistry | 1994
Mikiko Sodeoka; Hiroyoshi Yamada; Toshiyuki Shimizu; Susumu Watanuki; Masakatsu Shibasaki
B - Abstracts of IEICE TRANSACTIONS on Communications (Japanese Edition) | 2018
Yoshio Yamaguchi; Gulab Singh; Hiroyoshi Yamada
Proceedings of the IEICE General Conference | 2013
Naoki Ozawa; Hiroyoshi Yamada; Yoshio Yamaguchi; Keizo Hirano; Hiroyuki Ito
電子情報通信学会論文誌. B, 通信 | 2012
研 小川; 雄太 黒崎; 寛喜 山田; 芳雄 山口; Ken Ogawa; Yuta Kurosaki; Hiroyoshi Yamada; Yoshio Yamaguchi
電子情報通信学会論文誌. B, 通信 | 2011
善樹 高橋; 寛喜 山田; 芳雄 山口; Yoshiki Takahashi; Hiroyoshi Yamada; Yoshio Yamaguchi