[1] 李启虎. 声呐信号处理引论[M]. 北京:科学出版社, 2012. LI Qi-hu. Introduction to sonar signal processing [M]. Beijing: Science Press,2012. (in Chinese) [2] Ahmad Z, Ali I. Three decades of development in DOA estimation technology[J]. Indonesian Journal of Electrical Engineering and Computer Science, 2014, 12(8): 6297-6312. [3] Suryaprakash R T, Nadakuditi R R. The performance of MUSIC in white noise with limited samples and missing data[C]∥2014 IEEE Radar Conference. Philadelphia, PA,US: IEEE, 2014: 0940-0944. [4] Hyvrinen A. Independent component analysis: recent advances[J]. Phillosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013, 371(1984): 20110534. [5] 章新华, 范文涛, 康春玉, 等. 波束形成与独立分量分析融合的宽带高分辨方位估计方法[J]. 声学学报, 2009, 34(4): 303-310. ZHANG Xin-hua, FAN Wen-tao, KANG Chun-yu, et al. Broad-band high-resolution bearing estimation method combined with independent component analysis and beamforming [J]. Chinese Journal of Acoustics, 2009, 34(4): 303-310. (in Chinese) [6] Ruan Z L, Li L P, Qian G B. On extending the complex FastICA algorithms to noisy data[J]. Neural Networks, 2014, 60(C): 194-202. [7] Nesta F, Omologo M. Generalized state coherence transform for multidimensional TDOA estimation of multiple sources[J]. IEEE Transactions on Audio, Speech, and Language Processing, 2012, 20(1): 246-260. [8] Du K L, Swamy M N S. Independent component analysis[M]∥Neural Networks and Statistical Learning. London: Springer, 2014: 419-450. [9] Jansen M. Noise reduction by wavelet thresholding[M]. Berlin: Springer Verlag, 2012.
[10] 林杰, 付梦印, 李道平. 自适应小波阈值去噪算法及在图像处理中的应用[J]. 兵工学报, 2011, 32(7): 896-900. LIN Jie, FU Meng-yin, LI Dao-ping. Self-adaptive wavelet threshold de-noising method and its application in image processing [J]. Acta Armamentarii, 2011, 32(7): 896-900. (in Chinese) [11] Goodwin M M, Elko G W. Constant beamwidth beamforming[C]∥IEEE International Conference on Acoustics, Speech, and Signal Processing.. Minneapolis, MN, US: IEEE, 1993, 1: 169-172. [12] Wei T. A study of the fixed points and spurious solutions of the deflation-based FastICA algorithm[J]. Neural Computing and Applications, 2015: 1-12. [13] Sawada H, Mukai R, Araki S, et al. A robust and precise method for solving the permutation problem of frequency-domain blind source separation[J]. IEEE Transactions on Speech and Audio Processing, 2004, 12(5): 530-538. [14] Yang X, Mu L, Liu Y. Study on line-spectrum stability of ship underwater radiated noise[C]∥ IEEE/OES China Ocean Acoustics Symposium. Harbin, China: IEEE, 2016. [15] 倪晋平. 水声信号盲分离技术研究 [D]. 西安:西北工业大学, 2002. NI Jin-ping. A study on blind separation of underwater acoustic signals [D]. Xi'an: Northwestern Polytechnical University, 2002. (in Chinese)
第38卷 第1期2017 年1月兵工学报ACTA ARMAMENTARIIVol.38No.1Jan.2017
|