Title :
A new class of nonlinear filters
Author :
Cheng, Qiansheng ; Zhou, Xiaobo
Author_Institution :
Dept. of Inf. Sci., Peking Univ., Beijing, China
Abstract :
To attenuate random noise is important in recovering signals with change points for signal processing. We give a new class of nonlinear filters. We give left prediction and right prediction, left smoothing and right smoothing. We estimate the current signal value using the smoothing values and predictive values (NCNF). In simulated experiments, it is shown that the presented method is effective
Keywords :
interference suppression; nonlinear filters; parameter estimation; prediction theory; random noise; signal detection; signal processing; smoothing methods; change points; nonlinear filters; prediction; random noise attenuation; signal estimation; signal processing; signal recovery; smoothing; Filtering; Finite impulse response filter; Information science; Kernel; Nonlinear filters; Polynomials; Smoothing methods; Sorting; Tin; White noise;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770194