An Improved Analysis of TNN-Based Managed and Unverified Learning Approaches for Optimum Threshold Resolve

Author:

Pandey Sakshi

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference26 articles.

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3. Chen W, Ding X, Chen J, Liu X. The parameter selection method of wavelet threshold denoising in ultrasonic ranging signal process. Chin J Sens Actuat. 2017;30(3):407–11.

4. B’Charri OE, Latif R, Elmansouri K, Abenaou A, Jenkal W. ECG signal performance de-noising assessment based on threshold tuning of dual-tree wavelet transform. BioMed Eng Online. 2017;16(1):26.

5. Xie F, Xiao C, Liu R, Zhang L. Multi-threshold de-noising of electrical imaging logging data based on the wavelet packet transform. J Geophys Eng. 2017;14(4):900–8.

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