Paper Abstract and Keywords |
Presentation |
2014-03-07 14:50
Implementation and Evaluation of Selective Compressed Sensing for Micro-Controller Haruki Kawakami, Yoshihiro Kawahara (The Univ. of Tokyo), Masami Kishiro, Shingo Nakamura, Takahiro Kudo (Fuji Electric), Tohru Asami (The Univ. of Tokyo) IN2013-197 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Assuming the change in the eigenfrequency is used for the bridge
structure diagnosis by wireless accelerometers, we have proposed selective compressed sensing for reducing transmitting power. Using fast hadamard transform for compression, we can reduce memory size for compression from $N times M$ to $N+4$ and implement the method to sensors which have small memory, and efficiency of reducing power is nearly proportion to compression rate ($M leq N(1 - frac{45times 10^{-3}}{114} times log_2 N)$), where N is the number of samples and M the number of transmitted data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Compressed Sensing / Walsh Matrix / Fast Hadamard Transform / Acceleration Sensor / Structural Health Monitoring / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 473, IN2013-197, pp. 315-320, March 2014. |
Paper # |
IN2013-197 |
Date of Issue |
2014-02-27 (IN) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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IN2013-197 |
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