A Method of Adaptive Colored Noise Cancellation Based on ANFIS

摘要：

The objective of the proposed approach is to extract useful signals from background noise. This paper describes the adaptive detection of an unknown signal in a colored noise background. In the proposed technology, the ability for the self-adaptive neural network fuzzy inference system (ANFIS ) approaching the nonlinear function is used. First, the nonlinear dynamic characteristic of colored noise is modeled by ANFIS and approaches the colored noise by ANFIS. Then, colored noise is cancelled from a measured signal and the useful signal is gotten. Simulation experimental results show that a useful signal can be obtained accurately from the noise background, which is similar to the measured signal.

关键词： ANFIS Useful Signal Colored Noise Cancellation Estimated Signal

作者: Li WenNa Wang PeiFeng Li Yang

作者单位: College of Physics Science & Information Engineering, HeBei Normal University Shijiazhuang, 050016, College of Information Science & Engineering, HeBei University of Science and Technology Shijiazhuan Shijiazhuang Science Technology & Information College Shijiazhuang, 050091, China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 386-388

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）