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
收藏
页码：1488 / 1491
页数：4
相关论文
共 50 条
  • [21] Introduction to the modified probabilistic neural network for general signal processing applications
    Zaknich, A
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (07) : 1980 - 1990
  • [22] Implementation of Signal Classification Using Frequency Spectrum Features on the Raspberry Pi Platform
    Mitrovic, Andrija
    Djukanovic, Slobodan
    Radonjic, Milutin
    2017 25TH TELECOMMUNICATION FORUM (TELFOR), 2017, : 366 - 369
  • [23] IONIC-CHANNEL SIGNAL-PROCESSING USING ARTIFICIAL NEURAL NETWORK
    MOGHADDAMJOO, AR
    MALKI, H
    1989 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-3, 1989, : 786 - 789
  • [24] The simplicial neural cell and its mixed-signal circuit implementation: An efficient neural-network architecture for intelligent signal processing in portable multimedia applications
    Dogaru, R
    Julian, P
    Chua, LO
    Glesner, M
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002, 13 (04): : 995 - 1008
  • [25] IMPLEMENTATION AND APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS
    RAMAKRISHNAN, P
    BASU, A
    BHATKAR, VP
    ELECTRONICS INFORMATION & PLANNING, 1993, 20 (07): : 305 - 318
  • [26] Artificial Neural Network in Food Processing
    Chen Hua
    Sun Huili
    Yi Xiangxi
    Chen Xin
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 2687 - 2692
  • [27] APPLICATIONS OF NEURAL-NETWORK (NN) SIGNAL-PROCESSING IN BRAIN RESEARCH
    GEVINS, AS
    MORGAN, NH
    IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1988, 36 (07): : 1152 - 1161
  • [28] Raspberry Pi for Image Processing Education
    Marot, Julien
    Bourennane, Salah
    2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2017, : 2364 - 2368
  • [29] Embedded Video Processing on Raspberry Pi
    Arva, Gabor
    Fryza, Tomas
    2017 27TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA), 2017, : 211 - 214
  • [30] Analog/digital implementation of neural networks for pattern discovery and optimization in signal processing applications
    AbdelAtyZohdy, HS
    Zohdy, MA
    38TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 277 - 277
12345