Pulse Width Modulation (PWM) Signals Using Spiking Neuronal Networks

被引：0

作者：

Jalilian, Maisam ^{[1
]}

Nouri, Moslem ^{[2
]}

Ahmadi, Arash ^{[2
]}

Kandalaft, Nabeeh ^{[3
]}

机构：

[1] Islamic Azad Univ Eslam Abade E Gharb, Eslam Abade E Gharb Branch, Young Researchers & Elite Club, Kermanshah, Iran

[2] Razi Univ, Fac Engn, Kermanshah, Iran

[3] Grand Valley State Univ, Sch Engn, Allendale, MI 49401 USA

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA) | 2017年

关键词：

Spiking Neural Network; Biological Neuron Model; Pulse Width Modulation; MODEL; REALIZATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a digital construction of Pulse Width Modulation (PWM) signals based on the Izhikevich neuron model using a Field Programmable Gate Array (FPGA) platform. The signals are intended for use in diverse electronics applications such as robotics and power converters. A spiking pattern was used to generate the input data and produce the PWM signals. A comparator was used to compare between the spiking pattern data and DC level parameters. The results validate that the proposed hardware can reproduce PWM signals with duty cycles from 0% to 100%.

引用

页码：180 / 184

页数：5

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