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G. Jeney, S. Imre, L. Pap, A. Engelhart, T. Dogan, W.G. Teich, "Compar- ison of different multiuser detectors based on recurrent neural networks," COST 262 Workshop on Multiuser Detection in Spread Spectrum Communication, Schloss Reisensburg, Germany, pp. 61-70, January 2001.

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Performance Evaluation of Quantum Based Multi-User Detector - Imre, Balázs (2002)   Self-citation (Imre)   (Correct)

....solutions such as Decorrelating Detector, MMSE (Minimum Mean Square Error) detector, Multistage Detector, Hoppfield neural network or Stochastic Hoppfield neural network [1] 2] 3] and the references therein. One can find a comparison of the performance of the above mentioned algorithms in [4]. Nonlinear sub optimal solutions provide quite good performance, however, only asymptotically. Quantum computation based algorithms seem to be able to fill this long felt gap. Beside the classical description, which we recently use, researchers in the early 20 th century raised the idea of ....

G. Jeney, S. Imre, L. Pap, A. Engelhart, T. Dogan, W.G. Teich, "Compar- ison of different multiuser detectors based on recurrent neural networks," COST 262 Workshop on Multiuser Detection in Spread Spectrum Communication, Schloss Reisensburg, Germany, pp. 61-70, January 2001.


Non-coherent Multi-User Detection Based on Quantum Search - Imre, Balázs (2002)   Self-citation (Imre)   (Correct)

....such as Decorrelating Detector, MMSE (Minimum Mean Square Error) detector, Multistage Detector, Hoppfield neural network or Stochastic Hoppfield neural network [1] 2] 3] 4] and the references therein. One can find a comparison of the performance of the above mentioned algorithms in [5]. Nonlinear sub optimal solutions provide quite good performance, however, only asymptotically. Quantum computation based algorithms seem to be able to fill this long felt gap. Beside the classical description, which we recently use, researchers in the early century raised the idea of ....

G. Jeney, S. Imre, L. Pap, A. Engelhart, T. Dogan, W.G. Teich, "Comparison of different multiuser detectors based on recurrent neural networks," COST 262 Workshop on Multiuser Detection in Spread Spectrum Communication, Schloss Reisensburg, Germany, pp. 61--70, January 2001.

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