The Aircraft Sonic Feature Extraction Based on the Daubechies(dbN)

被引：0
|
作者：
Song, Nuan [1 ]
Dong, Xingwen [1 ]
Cheng, Jihang [1 ]
Jiao, Yang [1 ]
机构：
[1] Air Force Aviat Univ, Changchun, Jilin, Peoples R China
来源：
COMMUNICATIONS AND INFORMATION PROCESSING, PT 2 | 2012年 / 289卷
关键词：
Aircraft; Audio Signal; Features Extraction; Wavelet Analysis; Pattern Recognition; PATTERN-RECOGNITION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper mainly based on Daubechies(dbN)the wavelet analysis of aircraft audio feature extraction. The aircraft passive sonic detects and identification technology as a traditional means of reconnaissance is an important component of airborne early-warning system. Based on the two kinds of battlefields targets about the audio spectrum characteristics, using the characteristic pick-up arithmetic of the wavelet decomposition measure detail signal domain energy which is based on wavelet theory, and using this algorithm obtains lower-dimensional feature vector.
引用
收藏
页码：148 / 155
页数：8
相关论文
共 50 条
  • [21] Hand Rotate EEG signal feature extraction by second order Daubechies wavelet transform (DWT)
    Michahial, Stafford
    Kumar, R. Ranjith
    Kumar, Hemath P.
    Kumar, Puneeth A.
    2012 THIRD INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION & NETWORKING TECHNOLOGIES (ICCCNT), 2012,
  • [22] Feature extraction based on optimal Morlet wavelet for the pressure oscillation induced by vapor condensation in a sonic nozzle
    Ding, Hongbing
    Li, Yiming
    Li, Jinxia
    Cao, Peijuan
    Sun, Flongjun
    2019 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2019, : 354 - 358
  • [23] Remaining useful life prediction for aircraft engine based on LSTM-DBN
    Li J.
    Chen Y.
    Xiang H.
    Cai Z.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2020, 42 (07): : 1637 - 1644
  • [24] A Fault Diagnosis Method of Aircraft Hydraulic System Based on SSA-DBN
    Cui, Jianguo
    Song, Xue
    Cui, Xiao
    Du, Wenyou
    Liu, Dong
    Yu, Mingyue
    Jiang, Liying
    Wang, Jinglin
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 3036 - 3041
  • [25] 基于Daubechies(dbN)的飞行器音频特征提取
    宋暖
    陈大川
    栾爽
    冯志彬
    电子制作, 2018, (19) : 94 - 95+65
  • [26] A Separated Feature Learning based DBN Structure for Classification of SSMVEP Signals
    Jia, Yaguang
    Xie, Jun
    Xu, Guanghua
    Li, Min
    Zhang, Sicong
    Luo, Ailing
    Han, Xingliang
    2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2017, : 3356 - 3359
  • [27] Wavelet analysis and feature extraction for soundin civil aircraft cockpit
    Guo, Chao
    Yao, Hong-Yu
    Chen, Guo
    Shu, Ping
    Zhendong yu Chongji/Journal of Vibration and Shock, 2009, 28 (07): : 95 - 98
  • [28] FEATURE EXTRACTION OF ELECTROENCEPHALOGRAM SIGNAL GENERATED FROM WRITING IN DYSLEXIC CHILDREN USING DAUBECHIES WAVELET TRANSFORM
    Mahmoodin, Zulkifli
    Mansor, Wahidah
    Khuan, Lee Yoot
    Mohamad, Noor Bariah
    Amirin, Sariah
    JURNAL TEKNOLOGI, 2016, 78 (6-8): : 119 - 125
  • [29] A Feature Extraction Method for Aircraft Engine Rotor Vibration Diagnosis
    Zhang, Cui
    Wang, Keming
    Zhao, Pengran
    2014 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY, APISAT2014, 2015, 99 : 1576 - 1581
  • [30] A novel method of aircraft structure feature extraction in sky background
    Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
    不详
    Guangxue Jishu, 2007, 3 (406-408): : 406 - 408
12345