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An evaluation method for the restored time-constant function based on the network identification by deconvolution method
- Source :
- 2017 18th International Conference on Electronic Packaging Technology (ICEPT).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- In this paper, the regularization method and the Fourier domain deconvolution method with filter applied are used respectively for the operations of differentiation and deconvolution in the network identification by deconvolution (NID) process. The signal-to-noise ratio of the time-constant function is estimated as an evaluation of the result errors. The choosing criterion and influences of the parameters of the numerical algorithms are analyzed using the signal-to-noise ratio (SNR) estimation by numerical results.
- Subjects :
- Blind deconvolution
Mathematical optimization
Noise measurement
Network identification
Time constant
Wiener deconvolution
02 engineering and technology
Regularization (mathematics)
020401 chemical engineering
Evaluation methods
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Deconvolution
0204 chemical engineering
Algorithm
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 18th International Conference on Electronic Packaging Technology (ICEPT)
- Accession number :
- edsair.doi...........6f82da8312f14b5d91426a16faf0c595
- Full Text :
- https://doi.org/10.1109/icept.2017.8046427