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

被引：0

作者：

Bharadwaja, Vishwanath ^{[1
]}

Ananmy, R. ^{[1
]}

Nikhil, Sarraf ^{[1
]}

Vineetha, K. V. ^{[1
]}

Shah, Jalpa ^{[2
]}

Kurup, Dhanesh G. ^{[2
]}

机构：

[1] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Dept Comp Sci & Engn, Bengaluru, India

[2] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Dept Elect & Commun Engn, Bengaluru, India

来源：

2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | 2018年

关键词：

Logistic Regression; Demodulation; Analog to Digital Converter; Artificial Neural Network;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：1488 / 1491

页数：4

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