EI / SCOPUS / CSCD 收录

中文核心期刊

FANG Shiliang. A clustering algorithm of the underwater acoustic signal with the dynamic adjustable number of clusters[J]. ACTA ACUSTICA, 1996, 21(S1): 525-530. DOI: 10.15949/j.cnki.0371-0025.1996.S1.016
Citation: FANG Shiliang. A clustering algorithm of the underwater acoustic signal with the dynamic adjustable number of clusters[J]. ACTA ACUSTICA, 1996, 21(S1): 525-530. DOI: 10.15949/j.cnki.0371-0025.1996.S1.016

A clustering algorithm of the underwater acoustic signal with the dynamic adjustable number of clusters

More Information
  • Received Date: June 14, 1995
  • Available Online: August 03, 2022
  • This paper proposes a modifed K-MEANS training algorithm with the dynamic adjustable number of clusters.The algorithm trains the clustering centres and the number of clusters under the supervision of priori labels of samples.Therefore,it can effectively jump out of a local minimum for the squared error cost function and decrease the overlap between patterns.The clustering efficiency of the new algorithm has been demonstrated by clustering experiment of the real underwater sound signal.
  • Related Articles

    [1]ZHAO Yanfeng, TONG Feng, MA Bole, ZHOU Yuehai, YANG Xiaoyu. Multipath-cluster-wise joint equalization method for long-range deep-sea single-element underwater acoustic communication[J]. ACTA ACUSTICA, 2024, 49(4): 764-773. DOI: 10.12395/0371-0025.2024038
    [2]LI Derui, WANG Wei, LI Yu, LI Shuqiu, YU Xueyang. Cluster restricted despreading method of long-range pilot-free orthogonal multicarrier spread spectrum communication in deep sea[J]. ACTA ACUSTICA, 2024, 49(4): 753-763. DOI: 10.12395/0371-0025.2024091
    [3]ZHAO Yibo, QIAO Gang, LIU Songzuo, QING Xin, LI Lei. An end-point detection method for beluga whistle signals under burst pulse interferences[J]. ACTA ACUSTICA, 2024, 49(3): 550-559. DOI: 10.12395/0371-0025.2022192
    [4]XING Chuanxi, WAN Zhiliang, JIANG Siyuan, YU Ruimeng. Direction of arrival estimation based on high-order cumulant by sparse reconstruction of underwater acoustic signals[J]. ACTA ACUSTICA, 2022, 47(4): 440-450. DOI: 10.15949/j.cnki.0371-0025.2022.04.010
    [5]JIANG Weihua, TONG Feng, ZHANG Hongtao, LI Bin. Dynamic discriminative compressed sensing estimation of hybrid sparse underwater acoustic channel[J]. ACTA ACUSTICA, 2021, 46(6): 825-834. DOI: 10.15949/j.cnki.0371-0025.2021.06.005
    [6]KOU Siwei, FENG Xian, BI Yang, HUANG Hui. High-resolution angle-Doppler imaging by sparse recovery of underwater acoustic signals[J]. ACTA ACUSTICA, 2021, 46(4): 519-528. DOI: 10.15949/j.cnki.0371-0025.2021.04.004
    [7]CHEN Sheng, YANG Yanming, ZHOU Hongtao, WEN Hongtao. Analysis of the variation on underwater acoustic signal across ice layer in the Arctic[J]. ACTA ACUSTICA, 2021, 46(3): 355-364. DOI: 10.15949/j.cnki.0371-0025.2021.03.004
    [8]XIE Liang, WANG Lujun, LIN Wangsheng. Localization of underwater sound source using the characteristics of pulse cluster signal arrivals in deep sea[J]. ACTA ACUSTICA, 2021, 46(2): 171-181. DOI: 10.15949/j.cnki.0371-0025.2021.02.002
    [9]WANG Peng, CHI Cheng, JI Yongqiang, HUANG Yong, LIU Jiyuan, HUANG Haining. Two-dimensional deconvolved beamforming for high-resolution underwater three-dimensional acoustical imaging[J]. ACTA ACUSTICA, 2019, 44(4): 613-625. DOI: 10.15949/j.cnki.0371-0025.2019.04.022
    [10]WANG Wei, LÜ Ping, YAN Yonghong. An improved hierarchical speaker clustering[J]. ACTA ACUSTICA, 2008, 33(1): 9-14. DOI: 10.15949/j.cnki.0371-0025.2008.01.013

Catalog

    Article Metrics

    Article views (35) PDF downloads (0) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return