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This paper addresses single-channel blind signal separation (SCBSS) problem in digital communications. We introduce herein a novel SCBSS approach that is derived within a Bayesian estimation framework and is implemented via the Sequential Monte Carlo (SMC) methodology. By employing the difference of the time delays of the mixed source signals, the proposed method accomplishes the single-channel mixed signal separation. The computer simulations for the proposed technique illustrate the performance of the separating result.