Globally Convergent Deflationary Instantaneous Blind Source Separation Algorithm for Digital Communication Signals
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 th...
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| Veröffentlicht in: | IEEE transactions on signal processing 2007-05, Vol.55 (5), p.2182-2192 |
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| container_title | IEEE transactions on signal processing |
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| creator | Erdogan, A.T. |
| description | 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 |
| doi_str_mv | 10.1109/TSP.2007.893214 |
| format | Article |
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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. 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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</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2007.893214</doi><tpages>11</tpages></addata></record> |
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| issn | 1053-587X 1941-0476 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive algorithm Adaptive algorithms Adaptive filtering Algorithms Applied sciences Blind source separation blind source separation (BSS) Blinds Computer simulation Convergence Cost function Detection, estimation, filtering, equalization, prediction Digital Digital communication Exact sciences and technology H infinity control independent component analysis Information, signal and communications theory Minimization methods Miscellaneous multiple-in multiple-out (MIMO) blind equalization Optimization Particle separators Separation Signal and communications theory Signal processing Signal, noise Source separation subgradient Telecommunications and information theory Vectors |
| title | Globally Convergent Deflationary Instantaneous Blind Source Separation Algorithm for Digital Communication Signals |
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