Implementation of Artificial Neural Network on Raspberry Pi for Signal Processing Applications

Signal demodulation is one of the key signal processing application that enables modern communication systems. Signal demodulation normally requires complex hardware and prior information about the frequencies of the carrier. In this paper, we propose a method for demodulating signals with digital modulating signals based on Artificial Neural Network (ANN). The implementation of the proposed method has been carried in Raspberry Pi computer which will enable the deployment of the system in real time with the additional advantage of reconfigurability.