2020 Vol.3 Jun. No.3

• Title: Signal purification analysis of sudden change noise interference in medical devices based on time-frequency analysis
• Name: Xiang-qian Wang
• Company: Elementary Education College of Linyi University
• Abstract:

  The illegal signal such as the intrusion signal which wanted to be embedded in the normal signal was analyzed for the extraction, and made the network environment be safe and pure, so the signal detection problem was shown as the key and important problem in the assurance of the safety of the network. The signal processing principle for the non stationary signal was analyzed firstly, and the new signal extraction method based on the Wigner Ville distribution and Hough transformation theory of the time frequency analysis. The original signal was filtered and detected, the spectrum analysis was got as the same time for the testing the detection property in the simulation. Simulation and experiment was implemented on the objects of the network intrusion signal with the real collection in the database. Simulation result shows that the performance of decreasing the noise and filtering is very good. The intrusion signal can be detected and extracted perfectly, and also it shows good value in the analysis of the network safety in practice.

• Keyword: time frequency analysis; noise, signal extraction; network intrusion
• DOI: 10.12250/jpciams2020030103
• Citation form: Xiang-qian Wang.Signal purification analysis of sudden change noise interference in medical devices based on time-frequency analysis[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 98-101.

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