Amplitude and Frequency Modulations with Cellular Neural Networks
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Date
2015
Authors
Tander, Baran
Özmen, Atilla
Journal Title
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Volume Title
Publisher
Springer
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Abstract
Amplitude and frequency modulations are still the most popular modulation techniques in data transmission at telecommunication systems such as radio and television broadcasting gsm etc. However the architectures of these individual systems are totally different. In this paper it is shown that a cellular neural network with an opposite-sign template can behave either as an amplitude or a frequency modulator. Firstly a brief information about these networks is given and then the amplitude and frequency surfaces of the generated quasi-sine oscillations are sketched with respect to various values of their cloning templates. Secondly it is proved that any of these types of modulations can be performed by only varying the template components without ever changing their structure. Finally a circuit is designed simulations are presented and performance of the proposed system is evaluated. The main contribution of this work is to show that both amplitude and frequency modulations can be realized under the same architecture with a simple technique specifically by treating the input signals as template components.
Description
Keywords
Cellular neural networks, Nonlinear differential equations, Amplitude modulation, Frequency modulation, Circuit design
Turkish CoHE Thesis Center URL
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Citation
0
WoS Q
Q2
Scopus Q
Q2
Source
Volume
41
Issue
2
Start Page
259
End Page
272