Sergueï Burykh

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A unified view of several recently introduced reduced-rank adaptive filters is presented. As all considered methods use Krylov subspace for rank reduction, the approach taken in this work is inspired from Krylov subspace methods for iterative solutions of linear systems. The alternative interpretation so obtained is used to study the properties of each(More)
We study an iterative detection algorithm of an uncoded multi-transmitter multi-receiver system. The main data stream is demultiplexed into M substreams, and each substream is modulated independently then transmitted by its dedicated antenna. The receiver disposes of N ≥ M antennas. Over each receive antenna the signal is a superposition of the M substreams(More)
We propose a new blind interference scheme algorithm suitable for the direct-sequence code-division multiple access (DS/CDMA) downlink. The interferer codes are unknown but the family to which they belong is supposed to be known. The proposed technique is blind in the sense that only the desired user's spreading code is assumed to be known a priori. The(More)
An adaptive reduced-rank filter based on Conjugate-Gradient Algorithm is presented - Conjugate-Gradient Reduced-Rank Filter (CGRRF). The proposed method computes reduced-rank Wiener solutions iteratively starting from rank 1 (matched filter). It is shown that any of these filters is equivalent to the Multi-Stage Wiener Filter proposed by Goldstein and Reed(More)
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