Acoustic signal feature extractions on single Android device
In today’s context, there are very few applications in the market which implements sonar technologies with smartphones. This is due to the limitations of the smartphone’s hardware being unable to support it to the fullest potential. This work is about exploration of an Android application that woul...
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sg-ntu-dr.10356-665632023-03-03T21:00:19Z Acoustic signal feature extractions on single Android device Tan, Lindsey Sze Min Li Mo School of Computer Engineering Parallel and Distributed Computing Centre DRNTU::Engineering::Computer science and engineering In today’s context, there are very few applications in the market which implements sonar technologies with smartphones. This is due to the limitations of the smartphone’s hardware being unable to support it to the fullest potential. This work is about exploration of an Android application that would unlock smartphones based on the unique face reflection using sound signals. MATLAB would be used to calculate the time difference after finding the peaks and valleys from the original and received signals. The original signal are 18 kHz and 19 kHz frequencies and received signals went through the process of filtering. The distance from the microphone would then be computed after generating the time differences value using the distance formula. Bachelor of Engineering (Computer Science) 2016-04-16T03:42:52Z 2016-04-16T03:42:52Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66563 en Nanyang Technological University 30 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Tan, Lindsey Sze Min Acoustic signal feature extractions on single Android device |
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In today’s context, there are very few applications in the market which implements sonar technologies with smartphones. This is due to the limitations of the smartphone’s hardware being unable to support it to the fullest potential.
This work is about exploration of an Android application that would unlock smartphones based on the unique face reflection using sound signals. MATLAB would be used to calculate the time difference after finding the peaks and valleys from the original and received signals. The original signal are 18 kHz and 19 kHz frequencies and received signals went through the process of filtering. The distance from the microphone would then be computed after generating the time differences value using the distance formula. |
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Li Mo |
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Li Mo Tan, Lindsey Sze Min |
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Final Year Project |
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Tan, Lindsey Sze Min |
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Tan, Lindsey Sze Min |
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Acoustic signal feature extractions on single Android device |
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Acoustic signal feature extractions on single Android device |
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Acoustic signal feature extractions on single Android device |
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Acoustic signal feature extractions on single Android device |
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Acoustic signal feature extractions on single Android device |
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acoustic signal feature extractions on single android device |
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2016 |
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http://hdl.handle.net/10356/66563 |
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