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In order to overcome the deficiency of robustness of low altitude passive acoustic target recognition, the manifold learning is applied to the feature extraction of acoustic targets. Based on the classical algorithm of manifold learning, in the paper we study and discuss the low-dimensional manifold in the frequency-domain of acoustic signals. This method is used to solve the target recognition problem with two data sets to verify its effectiveness, after which the performance is analyzed. The result indicates that the manifold learning can discover the intrinsic feature and increase the accuracy and the robustness of low altitude passive acoustic target recognition system.
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Keywords:
- acoustic targets recognition /
- feature extraction /
- manifold learning
[1] Liu H, Yang J A 2009 International conference on Artificial intelligence and Computational Intelligence p185
[2] Chen K A, Wang N, Wu Y, Ma M, Zhang B R 2010 Chin. Sci. Bull 55 651 (in Chinese) [陈克安、王 娜、伍 莹、马 苗、张冰瑞 2010 科学通报 55 651]
[3] Ma Y F, Chen K A, Ma M 2009 Acta Armamentar 30 1477 (in Chinese) [马元锋、陈克安、马 苗 2009 兵工学报 30 1477]
[4] Huang Q 2006 Ph. D. Dissertation(Hefei: University of Science and Technology of China) (in Chinese) [黄 琦 2006 博士学位论文(合肥: 中国科学技术大学)]
[5] Jansen A, Niyogi P 2006 Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP) p241
[6] Tompkins F, Wolfe P 2009 Proc. of Interspeech p120
[7] Andrew E 2010 Ph. D. Dissertation(Dublin: Dublin City University)
[8] Wang N, Chen K A, Huang H 2009 Acta Phys. Sin. 58 7330 (in Chinese) [王 娜、陈克安、黄 凰 2009 58 7330]
[9] Hou C P, Wu Y, Yi D Y 2009 Journal of Computer Research and Development 46 676 (in Chinese) [侯臣平、吴 诩、易东云 2009 计算机研究与发展 46 676]
[10] Wang Q Q 2009 Ph. D. Dissertation(Chong Qing: Chong Qing University) (in Chinese) [王庆刚 2009 博士论文(重庆: 重庆大学)]
[11] Viren J, Lawrence K 2004 Int. Conf. on Acoustics, Speech and Signal Processing p984
[12] Guan L Y, Bao M, Zhang P, Li X D 2009 Acta Acustica 34 67 (in Chinese) [管鲁阳、鲍 明、张 鹏、李晓东 2009 声学学报 34 67]
[13] Tenenbaum J B, De Silva, Langford J C 2000 Science 290 2319
[14] Belkin M, Niyogl P 2003 Neural Computation 15 1373
[15] Roweis S T, Saul L K 2000 Science 290 2323
[16] Li B 2008 Ph. D. Dissertation (Hefei: University of Science and Technology of China) (in Chinese) [李 波 2008 博士学位论文(合肥: 中国科学技术大学)]
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[1] Liu H, Yang J A 2009 International conference on Artificial intelligence and Computational Intelligence p185
[2] Chen K A, Wang N, Wu Y, Ma M, Zhang B R 2010 Chin. Sci. Bull 55 651 (in Chinese) [陈克安、王 娜、伍 莹、马 苗、张冰瑞 2010 科学通报 55 651]
[3] Ma Y F, Chen K A, Ma M 2009 Acta Armamentar 30 1477 (in Chinese) [马元锋、陈克安、马 苗 2009 兵工学报 30 1477]
[4] Huang Q 2006 Ph. D. Dissertation(Hefei: University of Science and Technology of China) (in Chinese) [黄 琦 2006 博士学位论文(合肥: 中国科学技术大学)]
[5] Jansen A, Niyogi P 2006 Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP) p241
[6] Tompkins F, Wolfe P 2009 Proc. of Interspeech p120
[7] Andrew E 2010 Ph. D. Dissertation(Dublin: Dublin City University)
[8] Wang N, Chen K A, Huang H 2009 Acta Phys. Sin. 58 7330 (in Chinese) [王 娜、陈克安、黄 凰 2009 58 7330]
[9] Hou C P, Wu Y, Yi D Y 2009 Journal of Computer Research and Development 46 676 (in Chinese) [侯臣平、吴 诩、易东云 2009 计算机研究与发展 46 676]
[10] Wang Q Q 2009 Ph. D. Dissertation(Chong Qing: Chong Qing University) (in Chinese) [王庆刚 2009 博士论文(重庆: 重庆大学)]
[11] Viren J, Lawrence K 2004 Int. Conf. on Acoustics, Speech and Signal Processing p984
[12] Guan L Y, Bao M, Zhang P, Li X D 2009 Acta Acustica 34 67 (in Chinese) [管鲁阳、鲍 明、张 鹏、李晓东 2009 声学学报 34 67]
[13] Tenenbaum J B, De Silva, Langford J C 2000 Science 290 2319
[14] Belkin M, Niyogl P 2003 Neural Computation 15 1373
[15] Roweis S T, Saul L K 2000 Science 290 2323
[16] Li B 2008 Ph. D. Dissertation (Hefei: University of Science and Technology of China) (in Chinese) [李 波 2008 博士学位论文(合肥: 中国科学技术大学)]
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