Page 112 - 《应用声学》2019年第6期
P. 112
1014 2019 年 11 月
Han Jianhui, Yang Rijie, Wang Wei. Research on power- [17] 梅继丹, 王珺琳, 惠俊英. 垂直矢量阵声图被动定位技术研
law underwater acoustic transient signal detection based 究 [J]. 兵工学报, 2010, 31(3): 369–374.
on wavelet transform[J]. Journal of System Simulation, Mei Jidan, Wang Junlin, Hui Junying. Research on the
2008, 20(13): 3514–3516, 3520. underwater acoustic image passive locating using vertical
[6] 汤春瑞, 刘丹丹, 曹家年. 基于表面波变换的水声瞬态信号降 linear array[J]. Acta Armamentarii, 2010, 31(3): 369–374.
噪方法 [J]. 大连海事大学学报, 2008, 34(3): 51–54. [18] Deng L, Hinton G, Kingsbury B. New types of deep neural
Tang Chunrui, Liu Dandan, Cao Jianian. Denoising network learning for speech recognition and related appli-
method for underwater acoustic transient signals based on cations: an overview[C]. IEEE Int. Conf. Acoust. Speech
surfacelet transform[J]. Journal of Dalian Maritime Uni- Signal Process. (ICASSP), Vancouver, 2013: 8599–8603.
versity, 2008, 34(3): 51–54. [19] Niu H, Ozanich E, Gerstoft P. Ship localization in Santa
[7] 李亚安, 王洪超, 陈静, 基于奇异谱分解的水声信号降噪方法 Barbara Channel using machine learning classifiers[J].
研究 [J]. 系统工程与电子技术, 2007, 29(4): 524–527. Journal of the Acoustical Society of America, 2017, 142(5):
Li Ya’an, Wang Hongchao, Chen Jing. Research of noise EL455–EL460.
reduction of underwater acoustic signals based on singular [20] Niu H, Reeves E, Gerstoft P. Source localization in an
spectrum analysis[J]. Systems Engineering and Electron- ocean waveguide using supervised machine learning[J].
ics, 2007, 29(4): 524–527. Journal of the Acoustical Society of America, 2017, 142(3):
[8] 刘佳, 杨士莪, 朴胜春. 基于 EEMD 的地声信号单通道盲源 1176–1188.
分离算法 [J]. 哈尔滨工程大学学报, 2011, 32(2): 194–199. [21] Huang Z, Xu J, Gong Z, et al. Source localization using
Liu Jia, Yang Shi’e, Piao Shengchun. The single chan- deep neural networks in a shallow water environment[J].
nel seismic-acoustic signal blind-source separation method Journal of the Acoustical Society of America, 2018, 143(5):
based on EEMD[J]. Journal of Harbin Engineering Uni- 2922–2932.
versity, 2011, 32(2): 194–199. [22] Xu Y, Du J, Dai L, et al. A regression approach to
[9] 董姝敏. 水声信号处理的盲信号分离方法研究 [D]. 哈尔滨: speech enhancement based on deep neural networks[J].
哈尔滨工程大学, 2012. IEEE/ACM Transactions on Audio, Speech and Language
[10] 鄢社锋, 马远良. 传感器阵列波束优化设计及应用 [M]. 北京: Processing, 2015, 23(1): 7–19.
科学出版社, 2009. [23] 任宇飞, 李宇, 黄海宁. 深度学习的主动声纳信号增强方法研
[11] Capon J. High-resolution frequency-wavenumber spec- 究 [J]. 网络新媒体技术, 2017, 6(3): 14–19.
trum analysis[J]. Proceedings of the IEEE, 1969, 57(8): Ren Yufei, Li Yu, Huang Haining. Research on active
1408–1418. sonar signal enhancement based on deep learning[J]. Jour-
[12] Cox H, Zeskind R, Owen M. Robust adaptive beamform- nal of Network New Media, 2017, 6(3): 14–19.
ing[J]. IEEE Transactions on Acoustics, Speech, and Sig- [24] Crochiere R. A weighted overlap-add method of short-
nal Processing, 1987, 35(10): 1365–1376. time Fourier analysis/synthesis[J]. IEEE Transactions on
[13] Du L, Li J, Stoica P. Fully automatic computation of di- Acoustics, Speech, and Signal Processing, 1980, 28(1):
agonal loading levels for robust adaptive beamforming[J]. 99–102.
IEEE Transactions on Aerospace & Electronic Systems, [25] Barron A R. Universal approximation bounds for super-
2010, 46(1): 449–458. positions of a sigmoidal function[J]. IEEE Transactions on
[14] Griffiths L, Jim C. An alternative approach to linearly Information Theory, 1993, 39(3): 930–945.
constrained adaptive beamforming[J]. IEEE Transactions [26] Cybenko G. Approximation by superpositions of a sig-
on Antennas and Propagation, 1982, 30(1): 27–34. moidal function[J]. Mathematics of Control, Signals and
[15] Wang Q, Ren S. Robust generalized sidelobe canceller Systems, 1989, 2(4): 303–314.
with an eigenanalysis-based blocking matrix[C]. Int. Conf. [27] Sun L, Du J, Dai L, et al. Multiple-target deep learn-
Electr. Eng. Autom. Control (ICEEAC), Nanjing, 2017: ing for LSTM-RNN based speech enhancement[C]. Hands-
410–415. free Speech Commun. Microphone Arrays (HSCMA), San
[16] 梅继丹, 惠俊英, 惠娟. 聚焦波束形成声图近场被动定位技术 Francisco, 2017: 136–140.
仿真研究 [J]. 系统仿真学报, 2008, 20(5): 1328–1333. [28] Povey D, Ghoshal A, Boulianne G, et al. The Kaldi speech
Mei Jidan, Hui Junying, Hui Juan. Research on simula- recognition toolkit[C]. IEEE Workshop Autom. Speech
tion of near field passive ranging with underwater acous- Recognit. Understanding, Hawaii, 2011.
tic image by focused beam-forming[J]. Journal of System [29] Murray J, Ensberg D. The swellex-96 experiment[EB/
Simulation, 2008, 20(5): 1328–1333. OL]. [2019-01-01]. http://swellex96.ucsd.edu/index.htm.