Globally Convergent Deflationary Instantaneous Blind Source Separation Algorithm for Digital Communication Signals
Alper Tunga Erdogan · IEEE Transactions on Signal Processing · 2007
Recently an instantaneous blind source separation (BSS) approach that exploits the bounded magnitude structure of digital communications signals has been introduced. In this paper, we introduce a deflationary adaptive algorithm based on this criterion and provide its convergence analysis. We show that the resulting algorithm is convergent to one of the globally optimal points that correspond to perfect separation. The simulation examples related to the separation of digital communication signals are provided to illustrate the convergence and the performance of the algorithm