Publicação

The Haar Wavelet Transform in IoT Digital Audio Signal Processing

Ver documento

Detalhes bibliográficos
Resumo: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.
Autores principais:Escola, João Paulo Lemos
Outros Autores:de Souza, Uender Barbosa; Guido, Rodrigo Capobianco; Silva, Ivan Nunes da
Assunto:Digital Signal Processing Internet of Things Performance analysis Wavelets
Ano:2022
País:Brasil
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:IBICT
Idioma:inglês
Origem:Oasisbr

Registos relacionados

Atividades financiadas

Não foram encontrados projetos financiados.

Registos relacionados