A noise-robust dual filter approach to multichannel blind system identification
A noise-robust dual filter approach to multichannel blind system identification
复制标题
用于多通道盲系统识别的抗噪声双滤波器方法
DOI：
10.5281/zenodo.40283
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
P. Naylor
中科院分区：
文献类型：
--
作者：
R. Ahmad;N. Gaubitch;P. Naylor
提出了一种新的频域盲多通道辨识方法。这是基于双滤波器的方法，包括背景滤波器和前景滤波器。前景滤波器跟踪背景滤波器的成本函数的变化，并采用更新决策准则，使其对观测噪声具有鲁棒性，并便于跟踪未知系统中的变化。语音和白色高斯噪声输入信号的仿真结果，以说明该算法的声学系统的性能。
We present a novel frequency domain blind multichannel identification approach. This is a dual filter based approach comprising a background and a foreground filter. The foreground filter tracks the changes in the cost function of the background filter and employs an update decision criterion making it robust to observation noise and facilitating tracking of changes in the unknown system. Simulation results for both speech and white Gaussian noise input signals are presented to illustrate the algorithm's performance for acoustic systems.