Blind source recovery: some implementation and performance issues

This paper discusses the implementation of our proposed algorithms for blind source recovery based on constrained optimization using the state-space framework. Two simulation examples are presented where the mixing environment is modeled as FIR and IIR, respectively. The rate of convergence using the proposed implementation for these particular environment models is compared for various classes of data. Conclusions are derived for effectiveness of these techniques in various practical problems.

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