A Deep Learning Approach for the Design of Narrow Transition-Band FIR Filter
Author:
Funder
science and engineering research board
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-022-02036-0.pdf
Reference57 articles.
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3. D.A. Alwahab, D.R. Zaghar, S. Laki, Fir filter design based neural network, in 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP). (IEEE, 2018), pp. 1–4
4. Anshul Rathi, K., Comparison of various window techniques for design fir digital filter, in 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), (2017), pp. 428–432. https://doi.org/10.1109/ICPCSI.2017.8392331
5. K. Ben, P. Van der Smagt, An introduction to neural networks (University of Amsterdam, Amsterdam, 1996)
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