A Classification-Based Adaptive Bayesian Wavelet Packet Denoising Method for Additive Gaussian-Impulse Mixed Noise in Industrial Sensor and Measurement Signals
- DOI
- 10.21203/rs.3.rs-10608636/v1
- Published
- 2026-09-11
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10608636/v1,
title = {A Classification-Based Adaptive Bayesian Wavelet Packet Denoising Method for Additive Gaussian-Impulse Mixed Noise in Industrial Sensor and Measurement Signals},
author = {hao ying and zhou zhou and yangsen wen and pengpeng he},
year = {2026},
doi = {10.21203/rs.3.rs-10608636/v1},
url = {https://doi.org/10.21203/rs.3.rs-10608636/v1}
}RIS
TY - JOUR TI - A Classification-Based Adaptive Bayesian Wavelet Packet Denoising Method for Additive Gaussian-Impulse Mixed Noise in Industrial Sensor and Measurement Signals AU - hao ying AU - zhou zhou AU - yangsen wen AU - pengpeng he PY - 2026 DO - 10.21203/rs.3.rs-10608636/v1 UR - https://doi.org/10.21203/rs.3.rs-10608636/v1 ER -
APA
ying, H., zhou, Z., wen, Y., & he, P. (2026). A Classification-Based Adaptive Bayesian Wavelet Packet Denoising Method for Additive Gaussian-Impulse Mixed Noise in Industrial Sensor and Measurement Signals. https://doi.org/10.21203/rs.3.rs-10608636/v1
Source records
- crossref · retrieved 2026-09-25T21:07:25.265Z