Triply iterative algorithm for extracting statistically independent sources from array signals with noises

Da-Zheng Feng, Hua Zhang, Wei Xing Zheng

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[In this paper, an efficient algorithm is developed for blind separation of multiple independent sources from observed array output signals with noises. First, a novel tri-quadratic cost function is introduced for extracting statistically independent sources from array signals. Then an efficient method is established for solving this cost function. The developed blind source separation algorithm involves three main iteration steps, but each iteration step deals with only a least squares problem. Some numerical simulation examples are provided to demonstrate the effectiveness of the developed algorithm.]]
    Original languageEnglish
    Title of host publicationProceedings of the 8th International Conference on Signal Processing
    PublisherIEEE Press
    Number of pages1
    ISBN (Print)0780397371
    Publication statusPublished - 2006
    EventInternational Conference on Signal Processing -
    Duration: 1 Jan 2010 → …

    Conference

    ConferenceInternational Conference on Signal Processing
    Period1/01/10 → …

    Keywords

    • array signal processing
    • blind source separation
    • iterative methods
    • least squares
    • noise

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