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机译:基于M估算的归一化子带自适应滤波算法:性能分析和改进
School of Information Engineering Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Southwest University of Science and Technology Mianyang China;
School of Information Engineering Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Southwest University of Science and Technology Mianyang China;
School of Electronic and Information Engineering Xi’an Jiaotong University Xian China;
Institute of Sound and Vibration Research University of Southampton Southampton U.K.;
Acoustic Science and Technology Laboratory and the College of Underwater Acoustic Engineering Harbin Engineering University Harbin China;
School of Electronics and Information Engineering Sichuan University Chengdu China;
Convergence; Echo cancellers; Steady-state; Estimation error; Speech processing; Adaptive systems;
机译:稀疏亚滤光器标准化子带自适应滤波算法的性能分析
机译:脉冲噪声中鲁棒自适应滤波的递推最小M估计算法:快速算法和收敛性能分析
机译:具有高斯输入,加性高斯和受污染高斯噪声的最小均值M估计和归一化最小均值M估计算法的性能分析
机译:一种动态选择子带滤波器的变步长归一化子带自适应滤波器算法
机译:自适应算法的性能分析和使用卡尔曼滤波器的增强。
机译:通过改进的光学滤波和基于模型的精确重建算法来改进荧光增强型光学层析成像
机译:脉冲噪声中鲁棒自适应滤波的递归最小m估计算法:快速算法和收敛性能分析