@inproceedings{14c4c74359c949989b24c1e700d95c8e,
title = "Research on Shift Control of Automatic Transmission of Semi-Automatic Driving Vehicle",
abstract = "Aiming at the problem of a large amount of strong electromagnetic and environmental vibration noise in the shift signal of motor vehicles, and considering the demand of real-time performance and hardware performance, based on the discrete wavelet algorithm of minimum bandwidth, a simplified wavelet decomposition layer determination method suitable for engineering implementation is proposed. Then the wavelet coefficients of each layer are classified by the initial threshold value, and the adaptive iterative determination algorithm of the threshold value of each layer is designed based on the modulus and mean variance of the mean difference of various coefficients in each layer, and the quantization function of the threshold value is improved. Simulation comparison test and application test results show that the algorithm has a good effect on noise reduction and is suitable for the detection and noise reduction of related signals of motor vehicles.",
keywords = "Adaptive Threshold, Shift Signal, Wavelet, Wavelet De-Noising",
author = "Xianping Gao and Xueliang Bian and Ying Cheng and Shaohua Wang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd International Conference on Computer Network, Electronic and Automation, ICCNEA 2019 ; Conference date: 27-09-2019 Through 29-09-2019",
year = "2019",
month = sep,
doi = "10.1109/ICCNEA.2019.00084",
language = "English",
series = "Proceedings - 2nd International Conference on Computer Network, Electronic and Automation, ICCNEA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "426--429",
booktitle = "Proceedings - 2nd International Conference on Computer Network, Electronic and Automation, ICCNEA 2019",
address = "United States",
}