Preconditioned optimization algorithms solving the problem of the non unitary joint block diagonalization: application to blind separation of convolutive mixtures
Sign Up to like & getrecommendations! Published in 2018 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-017-0506-8
Abstract: This article addresses the problem of the Non Unitary Joint Block Diagonalization ($$\mathsf {NU-JBD}$$NU-JBD) of a given set of complex matrices for the blind separation of convolutive mixtures of sources. We propose new different iterative… read more here.
Keywords: blind separation; algorithms; separation convolutive; convolutive mixtures ... See more keywords
Underdetermined blind separation of source using lp-norm diversity measures
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.029
Abstract: Abstract Blind separation of sources (BSS) is to recover the source signals from the observed mixture signals with no knowledge on the mixing channel. Recently, there has been more and more attention to underdetermined BSS.… read more here.
Keywords: blind separation; source; norm diversity; diversity measures ... See more keywords
Robust blind separation for MIMO systems against channel mismatch using second-order cone programming
Sign Up to like & getrecommendations! Published in 2017 at "China Communications"
DOI: 10.1109/cc.2017.7961372
Abstract: To improve the deteriorated capacity gain and source recovery performance due to channel mismatch problem, this paper reports a research about blind separation method against channel mismatch in multiple-input multiple-output (MIMO) systems. The channel mismatch… read more here.
Keywords: blind separation; channel mismatch; systems channel; mimo systems ... See more keywords
Reconstruction algorithm of haze image based on blind separation model of polarized orthogonal airlight.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.472886
Abstract: Polarization-based dehazing methods can enhance the quality of haze images. However, existing methods tend to a manual selection of sky area and bias coefficient to estimate the degree of polarization (DoP) of the airlight, which… read more here.
Keywords: blind separation; reconstruction algorithm; separation model; haze ... See more keywords