Modeling an Acoustic Noise Cancellation Filter Based on the Raspberry Pi 4B Model

The following paper, based on the processor Raspberry Pi 4B, develops an Adaptive Filter for teleconferencing systems noise cancellation and analyzes its effectiveness. The theoretical development of the acoustic noise cancellation algorithms is performed, in particular LMS, NLMS, and RLS algorithms, where their implementation on the Raspberry Pi platform is studied. The tests carried out within the research testify that these filters are efficient for noise level reduction, hence increasing the quality of the sound. The article presented shows the possibilities of the Raspberry Pi platform to develop low-cost, efficient teleconferencing systems and is targeted to be a foundation for new approaches in this direction. It is also targeted to be performed on the Raspberry Pi 4B platform for high-quality sound transmission with effective acoustic noise cancellation in teleconferencing systems.

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