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Abstract
Digital signal processing allows a wide range of digital applications, including audio processing. Discrete wavelet transform (DWT) is one of the most efficient ways of time–frequency analysis of an audio signal. The Internet of Things (IoT) is a technology that has been growing in commercial automation applications with the availability of low-cost modules and microcontrollers. IoT projects that use DWT for digital audio processing can solve many problems involving audio signals. In this paper, a performance comparison of an algorithm implementing DWT on three commercially available IoT devices is presented. The results show that it is possible to process signals in the 256 Hz to 6.5 KHz range, opening possibilities for future work integrating the technologies described.
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; de Souza Uender Barbosa 2 ; Guido Rodrigo Capobianco 3 ; Silva Ivan Nunes da 4 1 Instituto Federal de São Paulo, Barretos, Brazil (GRID:grid.456464.1) (ISNI:0000 0000 9362 8972); Universidade de São Paulo, Escola de Engenharia de São Carlos, São Carlos, Brazil (GRID:grid.11899.38) (ISNI:0000 0004 1937 0722)
2 Instituto Federal de Goiás, Goiânia, Brazil (GRID:grid.472917.e) (ISNI:0000 0004 0487 9964); Universidade Federal de Goiás, EMC, Goiânia, Brazil (GRID:grid.411195.9) (ISNI:0000 0001 2192 5801)
3 Unesp - Universidade Estadual Paulista (São Paulo State University), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Preto, Brazil (GRID:grid.410543.7) (ISNI:0000 0001 2188 478X)
4 Universidade de São Paulo, Escola de Engenharia de São Carlos, São Carlos, Brazil (GRID:grid.11899.38) (ISNI:0000 0004 1937 0722)