• Title/Summary/Keyword: SMLD

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SMLD: Enhanced MIMO-Signal Detection for Wireless MIMO Communication Receivers

  • Baek, Myung-Sun;Woo, Mi-Ae;Lim, Jae-Hyuck;You, Young-Hwan;Song, Hyoung-Kyu
    • ETRI Journal
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    • v.29 no.2
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    • pp.240-242
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    • 2007
  • This letter proposes a simplified maximum likelihood detection (SMLD) scheme to improve the detection performance of multiple-input multiple-output receivers. The SMLD detects V streams according to the first detected V sub-streams. Through an ML test, the most probable stream is selected. Moreover, to detect the layer with the worst post-detection SNR accurately, reverse ordering is applied to the SMLD. Simulation results show that the performance of the Vertical Bell Laboratories layered space-time (V-BLAST) system can be improved by adopting the SMLD technique. In the case of reverse ordering, the SMLD can achieve a similar ML performance with significant reduction in computational complexity.

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Novel velocity detection of moving object with rough surface vertically illuminated by self-mixing laser diode

  • Shibata, Takaaki;Shinohara, Shigenobu;Ikeda, Hiroaki;Yoshida, Hirofumi;Sumi, Masao
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.494-497
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    • 1994
  • We propose a novel velocity detection method of moving object based on a speckle pattern on the target surface using a self-mixing laser diode (SMLD). By this measurement, it was confirmed that the speckle signal has its waveform independent of the target velocity, and has its averaged frequency directly proportional to the target velocity. So it will be possible to detect the velocity of the target transversely translating against the laser light beam using a compact measuring system.

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Design of a Smart Music Learning Device that can interact with each other using a transparent touch panel (투명 터치패널을 이용한 상호작용이 가능한 스마트 음악학습기의 설계)

  • Kim, Hyeong-Gyun;Kim, Yong-Ho
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.127-132
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    • 2020
  • The Smart Music Learning Device(SMLD) presented in this paper constructs the display part by attaching the touch panel to both sides of the transparent panel. The main processing unit uses raspberry pie, and the operating system uses Android. On the transparent panel, music education contents are displayed, and on the touch panels 1 and 2, the inputs of learners and instructors are accepted. The signal input from the touch panels 1 and 2 controls the progress of the music education contents through a process in the main processing unit. This control process design and implement a two - sided panel - based interactive training algorithm. This device aims at musical education based on mutual understanding. Therefore, it conducts face-to-face education using music education contents presented through transparent panel. This allows the instructor to know in real time the response to the learner, thus improving the understanding of the learning and the quality of the education. Also, the learner's concentration can be improved.