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A Two-Stage MMSE Beamformer for Underdetermined Signal Separation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00424112" target="_blank" >RIV/67985556:_____/13:00424112 - isvavai.cz</a>

  • Alternative codes found

    RIV/46747885:24220/13:#0002868

  • Result on the web

    <a href="http://dx.doi.org/10.1109/LSP.2013.2285932" target="_blank" >http://dx.doi.org/10.1109/LSP.2013.2285932</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/LSP.2013.2285932" target="_blank" >10.1109/LSP.2013.2285932</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Two-Stage MMSE Beamformer for Underdetermined Signal Separation

  • Original language description

    Blind separation of underdetermined instantaneous mixtures is a popular solution to inverse problems encountered in audio or biomedical applications where the number of sources exceeds the number of sensors. There are two non-equivalent tasks: to identify the mixing matrix and to separate the original sources. In this paper, we focus on the latter task by proposing a novel beamformer that minimizes the theoretical mean square error distance between the separated and original signals. The beamformer hastwo stages: one for the estimation of signals and one for their refinement. Within the former stage, the signals are assumed to be random and locally stationary, while the latter stage is based on a semi-deterministic model. The experiments prove superior performance of the proposed method compared to conventional MMSE beamforming.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F11%2F1947" target="_blank" >GAP103/11/1947: Methods of Latent Variable Analysis in Blind Speech and Audio Processing</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Signal Processing Letters

  • ISSN

    1070-9908

  • e-ISSN

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    4

  • Pages from-to

    1227-1230

  • UT code for WoS article

    000326120300001

  • EID of the result in the Scopus database