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AN ADAPTIVE BLIND EQUALIZER USING GAUSSIAN TWO-CLUSTER MODEL
AN ADAPTIVE BLIND EQUALIZER USING GAUSSIAN TWO-CLUSTER MODEL
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机译:基于高斯两簇模型的自适应盲均衡器
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摘要
PURPOSE: An adaptive blind equalizer using a Gaussian two-cluster model is provided to minimize calculation complexity and to increase the reliability of signal estimation. CONSTITUTION: An adaptive blind equalizer using a Gaussian two-cluster model estimates a transmission signal selectively using a Gaussian two-cluster model and a nonlinear estimator. The Gaussian two-cluster model forms a Gaussian cluster based on two signals. The nonlinear estimator has a variable parameter according to average and variance of the Gaussian two-cluster model.
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