Blind separation using second order statistics for non-stationary signals
نویسندگان
چکیده
منابع مشابه
Blind Separation Using Second Order Statistics for Non-stationary Signals1
In the signal processing area, blind source separation (BSS) is a method aiming to recover independent sources from their linear instantaneous mixtures without resorting to any prior knowledge, such as mixing matrices and sources. There have been increased attentions given to blind source separation in many areas, including wireless communication, biomedical imaging processing, multi-microphone...
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For the last 10 years, source separation has raised an increasing interest, partly because it has been discovered that space-time approaches will play an essential role in future radio communications" Lathauwer and Comon [1]. In the case of instantaneous mixture (memoryless mixture or channel), many algorithms are proposed to solve the blind separation problem. In general case (where no special...
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Separation of sources consists of recovering a set of signals of which only instantaneous linear mixtures are observed. In many situations, no a priori information on the mixing matrix is available: The linear mixture should be “blindly” processed. This typically occurs in narrowband array processing applications when the array manifold is unknown or distorted. This paper introduces a new sourc...
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A second-order method for blind source separation of noisy instantaneous linear mixtures is presented and analyzed for the case where the signal order k and noise covariance GGH are unknown. Only a data set X of dimension n> k and of sample size m is observed, where X = AP + GW. The quality of separation depends on source-observation ratio }, the degree of spectral diversity, and the second-ord...
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This paper studies the blind source separation (BSS) problem with the assumption that the source signals are cyclostationary. Identifiability and separability criteria based on second-order cyclostationary statistics (SOCS) alone are derived. The identifiability condition is used to define an appropriate contrast function. An iterative algorithm (ATH2) is derived to minimize this contrast funct...
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ژورنال
عنوان ژورنال: Computer Science and Information Systems
سال: 2010
ISSN: 1820-0214,2406-1018
DOI: 10.2298/csis1001163d