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A design of laser array harp based on multi-dimensional wavelet transform and audio signal reconstruction
Author(s) -
Bin Liu,
Rongfang Yan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2113/1/012059
Subject(s) - harp , computer science , audio signal , signal (programming language) , signal conditioning , wavelet packet decomposition , wavelet , digital signal processing , digital signal processor , electronic engineering , wavelet transform , analog signal , signal processing , audio signal processing , computer hardware , speech recognition , artificial intelligence , power (physics) , engineering , physics , quantum mechanics , programming language
This paper introduces a design scheme of laser array harp based on multi-dimensional wavelet transform and audio signal reconstruction. The green light beams from multiple high-power lasers simulate harp strings, use photoresistors as the signal receiving end, and use a signal conditioning system composed of analog circuits and LM393 comparators to collect and adjust the resistance signal of the laser sensor[1], and finally it is adjusted to a level signal that can be recognized by the CPU. After receiving the signal, the CPU core board analyzes the string signal, and sends control commands to the audio processing system through the industrial bus according to the analyzed digital signal. After receiving the control command, the audio processing system uses the audio signal reconstruction technology composed of multi-dimensional wavelet packets, deep learning and other algorithms to simulate the audio signals of various string music, so as to achieve the purposes of using the lasers as virtual strings and imitating musical instruments for musical performance.[2]

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