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Publication
Featured researches published by Yoshinori Muramatsu.
international solid-state circuits conference | 2001
Yoshinori Muramatsu; Susumu Kurosawa; Masayuki Furumiya; Hiroaki Ohkubo; Yasutaka Nakashiba
A high-density CMOS image sensor has a normal mode and three signal-processing function modes: wide dynamic-range mode, motion-detection mode, and edge-extraction mode. Small pixel and real-time operation are achieved by using a four-transistor pixel scheme and column-parallel on-chip analog operation.
international solid-state circuits conference | 2011
Koji Mishina; Hiroyuki Tsuchiya; Tatsuya Ichikawa; Hiroyuki Iwaki; Yuji Gendai; Hirotaka Murakami; Kenichi Takamiya; Hiroshi Shiroshita; Yoshinori Muramatsu; Toshihiro Furusawa
Recently, the demands to achieve both high-speed and high-quality imaging — including high A/D resolution — have increased. The new target specification is 60fps Ultra-High-Definition with 12b resolution. This imaging requires 24Gb/s, while reported CMOS image sensors have reached up to 6.5Gb/s [1–4]. This paper presents a 34.8Gb/s CMOS image sensor with high image quality, which realizes 17.7M pixels at 120fps with 12b resolution and a dynamic range of over 75dB (one of the highest image qualities, compared with data from [2]). Generally there exists a trade-off between high-speed imaging and high image quality. This is because high-speed imaging brings high power with high thermal noise, which also degrades the signal quality, and because fast data transfer may require more output pins, bringing more interference.
international solid-state circuits conference | 2017
Tomohiro Yamazaki; Hironobu Katayama; Shuji Uehara; Atsushi Nose; Masatsugu Kobayashi; Sayaka Shida; Masaki Odahara; Kenichi Takamiya; Yasuaki Hisamatsu; Shizunori Matsumoto; Leo Miyashita; Yoshihiro Watanabe; Takashi Izawa; Yoshinori Muramatsu; Masatoshi Ishikawa
High-speed vision systems that combine high-frame-rate imaging and highly parallel signal processing enable instantaneous visual feedback to rapidly control machines over human-visual-recognition speeds. Such systems also enable a reduction in circuit scale by using a fast and simple algorithm optimized for high-frame-rate processing [1]. Previous studies on vision systems and chips [1–4] have yielded low imaging performance due to large matrix-based processing element (PE) parallelization [1–3], and low functionality of the limited-purpose column-parallel PE architecture [4], constraining vision-chip applications.
symposium on vlsi circuits | 1998
Satoshi Utsugi; Masami Hanyu; Yoshinori Muramatsu; Tadahiko Sugibayashi
A non-complimentary rewriting scheme is proposed for open-bit-line DRAMs adopting shared-sub-sense amplifier. The scheme can theoretically cancel inter-bit-line coupling noise down to zero. In order to suppress the peak in word-line noise, a serial-data coding scheme was also developed. This scheme can reduce word-line noise to at least 50%. These two circuits were applied to an experimental 1 Gb DRAM using 0.22 /spl mu/m CMOS process technology for file applications.
IEEE Journal of Solid-state Circuits | 1999
Satoshi Utsugi; M. Hanyu; Yoshinori Muramatsu; Tadahiko Sugibayashi
A noncomplimentary rewriting scheme is proposed for open-bit-line DRAMs adopting a shared subsense amplifier. The scheme can theoretically cancel inter-bit-line coupling noise down to zero. In order to suppress the peak in unselected word line noise, a serial-data coding scheme was also developed, This scheme can reduce unselected word-line noise by at least 50%.
Archive | 2001
Susumu Kurosawa; Yoshinori Muramatsu
Archive | 2004
Yoshinori Muramatsu; Yasutaka Nakashiba
Archive | 1999
Yoshinori Muramatsu
Archive | 2003
Yoshinori Muramatsu; Fuyuki Okamoto
Archive | 2001
Fuyuki Okamoto; Teruyuki Higuchi; Yoshinori Muramatsu