Information Entropy- and Average-Based High-Resolution Digital Storage Oscilloscope
Joint Authors
Jiang, Jun
Guo, Lianping
Yang, Kuojun
Pan, Huiqing
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Vertical resolution is an essential indicator of digital storage oscilloscope (DSO) and the key to improving resolution is to increase digitalizing bits and lower noise.
Averaging is a typical method to improve signal to noise ratio (SNR) and the effective number of bits (ENOB).
The existing averaging algorithm is apt to be restricted by the repetitiveness of signal and be influenced by gross error in quantization, and therefore its effect on restricting noise and improving resolution is limited.
An information entropy-based data fusion and average-based decimation filtering algorithm, proceeding from improving average algorithm and in combination with relevant theories of information entropy, are proposed in this paper to improve the resolution of oscilloscope.
For single acquiring signal, resolution is improved through eliminating gross error in quantization by utilizing the maximum entropy of sample data with further noise filtering via average-based decimation after data fusion of efficient sample data under the premise of oversampling.
No subjective assumptions and constraints are added to the signal under test in the whole process without any impact on the analog bandwidth of oscilloscope under actual sampling rate.
American Psychological Association (APA)
Jiang, Jun& Guo, Lianping& Yang, Kuojun& Pan, Huiqing. 2014. Information Entropy- and Average-Based High-Resolution Digital Storage Oscilloscope. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1046559
Modern Language Association (MLA)
Jiang, Jun…[et al.]. Information Entropy- and Average-Based High-Resolution Digital Storage Oscilloscope. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1046559
American Medical Association (AMA)
Jiang, Jun& Guo, Lianping& Yang, Kuojun& Pan, Huiqing. Information Entropy- and Average-Based High-Resolution Digital Storage Oscilloscope. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1046559
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046559