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- W2323781282 abstract "In order to classify and analyze variously compounded sound and voice signal from FPGA microphone, there are numerous systems to detect abnormality signal, however, they have a lot of problems to implement the abnormality signal detection efficiently and effectively. Therefore, we proposed a method that implements classifying the signal effectively and outputting the detection efficiently based on the algorithm applied FIFO structure (First-in First-out) by using microphone sensor which able to input the sound signal, and statistical variance and coefficient of variation (CV). The result showed 96.3% detection when the experiment was performed more than 100 times with the proposed algorithm applied system." @default.
- W2323781282 created "2016-06-24" @default.
- W2323781282 creator A5050665895 @default.
- W2323781282 date "2015-12-30" @default.
- W2323781282 modified "2023-09-25" @default.
- W2323781282 title "Development of Voice Signal Detection System using FPGA" @default.
- W2323781282 cites W2028754705 @default.
- W2323781282 doi "https://doi.org/10.7236/jiibc.2015.15.6.141" @default.
- W2323781282 hasPublicationYear "2015" @default.
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