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- W2159645904 abstract "We propose the least squares support vector classifier (LS-SVC) based equalization schemes for direct sequence ultra wideband (DS-UWB) systems, where a bank of independent LS-SVCs are employed to detect each block of signals. The LS-SVC based equalizers provide a close bit error rate (BER) performance in the line-of-sight (LOS) scenario to the case with additive white Gaussian noise (AWGN). Simulation results show that the LS-SVC based equalizers have almost identical BER performance to that of typical support vector classifiers (SVCs) with a reduced training complexity. Furthermore, the sparse LSSVCs are employed to reduce the detection complexity, with little performance loss compared to LS-SVCs." @default.
- W2159645904 created "2016-06-24" @default.
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- W2159645904 date "2009-06-01" @default.
- W2159645904 modified "2023-09-26" @default.
- W2159645904 title "Low-Complexity Equalization Based on Least Squares Support Vector Classifiers for DS-UWB Systems" @default.
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- W2159645904 doi "https://doi.org/10.1109/icc.2009.5199159" @default.
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