Abstract
Abstract Blind deconvolution and blind equalization have been important interesting topics in diverse field including data communication, image processing and geophysical data processing. Recently, Inouye and Habe proposed a constrained multistage criterion for attaining blind deconvolution of multichannel linear time-invariant (LTI) systems (Inouye and Habe, 1995). In this paper, based on their constrained criterion, we present two iterative algorithms for solving the blind deconvolution problem of multichannel LTI systems. Inouye and Sato proposed a new unconstrained multistage criterion for accomplishing the blind deconvolution of multichannel LTI systems (Inouye and Sato, 1996). Based on their unconstrained criterion, we show an iterative algorithm for solving the blind deconvolution of multichannel LIT systems. Simulation examples are included to examine the proposed algorithms.
Published Version
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