NDLI: Study on Enhancing Features of Digital Oscilloscope to Measure the Period of Weak FM Signal

Content Provider	IEEE Xplore Digital Library
Author	Li Xiaoling Yin Xing
Copyright Year	2009
Abstract	This paper studied a method of applying the principle of chaos and neural network to detect FM modulation signal and calculate the period of the modulated signal. Also it advanced a way to enhance the features of digital oscilloscope (DSO) to measure the period of weak FM signal by programming and embedding it to the function database of DSO. According the characteristic of chaotic time serial, neural network selected Elman network, and constructed it while it’s dimensions of input and output were fixed by computing the correlation dimension of the chaotic time serial. Then, making use of the characteristic of identification of space-time of spatio-temporal neural network, it detected directly weak FM signal under chaotic background in chaotic state. Last, it obtained the variational relation of time-amplitude by calculating the frequency-time function. This way break through conventional chaotic measurement principle and is simple to embed in DSO. The experiment testified that it has a widely frequency scope and reliable result.
Starting Page	15
Ending Page	18
File Size	978747
Page Count	4
File Format	PDF
ISBN	9780769536828
DOI	10.1109/ESIAT.2009.348
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Measurement Frequency modulation Oscilloscopes Neural Networks Digital Oscilloscope Spatial databases Neural networks FM Modulation Signal processing Computer networks Functional programming Signal detection Testing
Content Type	Text
Resource Type	Article

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