Open AccessResearch on the Detection of Vehicle Vibration and Noise Signal Based On Negative Entropy Detection Algorithm
Author(s) -
Naibin Zhai,
Haijun Zhao,
Xintao Cui
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2074/1/012055
Subject(s) - entropy (arrow of time) , algorithm , vibration , computer science , detection theory , noise reduction , noise (video) , speech recognition , pattern recognition (psychology) , control theory (sociology) , artificial intelligence , acoustics , physics , telecommunications , control (management) , detector , quantum mechanics , image (mathematics)
As an important part of vehicle noise signal detection and processing, negative entropy detection algorithm can accurately reduce the number of speech coding bits, ameliorate the recognition accuracy, and establish the noise model in the process of noise reduction. Based on this, this paper first analyses the source and control of vehicle vibration and noise, then studies the principle of negative entropy detection algorithm of vehicle vibration and noise signal, and finally gives the vehicle vibration and noise signal detection method based on negative entropy detection algorithm.