DocumentCode :
691843
Title :
A Study on Improving the Abnormal Signal Detection Ability of Digital Storage Oscilloscope
Author :
Jiang Jun ; Ye Peng
Author_Institution :
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
fDate :
21-22 Dec. 2013
Firstpage :
244
Lastpage :
247
Abstract :
Abnormal signal detection is a hot research in electronic test field. The digital storage oscilloscope detects abnormal signals by signal acquisition, abnormal signal identification, storage and display. Though the existing oscilloscope signal acquisition ability is technically improved by increasing the sampling rate, the waveform capture rate and other indicators, the identification, storage and display of abnormal signal show some deficiencies, which results in low abnormal signal detection efficiency and less application of detection function. The purpose of this paper is to improve the digital storage oscilloscope abnormal signal detection ability totally, design the abnormal signal detection system based on FPGA, study the method to improve the abnormal signal identification, storage and display, realize real-time, accurate identification and storage of abnormal signal in long period of time without manual monitoring, realize accurate offline positioning for abnormal signal in multiple display modes, and greatly improve the abnormal signal detection efficiency and practicability of the oscilloscope.
Keywords :
digital storage oscilloscopes; field programmable gate arrays; signal detection; signal sampling; waveform analysis; FPGA; abnormal signal detection system; abnormal signal identification; digital storage oscilloscope; display modes; electronic test field; oscilloscope signal acquisition; sampling rate; waveform capture rate; Clocks; Digital signal processing; Field programmable gate arrays; Oscilloscopes; Real-time systems; Signal detection; abnormal signal detection; digital storage oscilloscope; timestamp; waveform capture rate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3380-8
Type :
conf
DOI :
10.1109/DASC.2013.70
Filename :
6844370
Link To Document :
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