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• W2048652923 abstract "Channel equalization is a major issue in digital communications and in burst time division multiple access (TDMA) transmissions is augmented by the need of transmitting an equalizing sequence in each burst. In order to attain full use of the available bandwidth in such transmissions, short training sequences are a prerequisite. In this paper we propose to use a support vector classifier (SVC) for equalizing digital communication channels because of the good generalization properties the SVC presents for short training sequences. A linear and a nonlinear equalizer suitable for short training sequences are developed using an SVC. Instead of using quadratic programming (QP) procedures for solving the SVC, as is usually done, we present an iterative re-weighted least squares procedure for attaining the SVC solution, because it is a procedure simple to implement and allows a recursive formulation that is impossible for QP schemes. We analyze the performance of the proposed algorithm using computer simulations of general TDMA communication scenarios." @default.
• W2048652923 created "2016-06-24" @default.
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• W2048652923 date "2001-08-01" @default.
• W2048652923 modified "2023-10-18" @default.
• W2048652923 title "SVC-based equalizer for burst TDMA transmissions" @default.
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• W2048652923 doi "https://doi.org/10.1016/s0165-1684(01)00079-2" @default.
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