一种基于信号局部时变特性的细节保护自适应滤波器

A KIND OF DETAIL-PRESERVING ADAPTIVE FILTER BASED ON LOCAL SIGNAL TIME-VARYING CHARACTERISTICS

作者根据局部时序信号与顺序统计量的关系提出了一种新的自适应滤波器算法,并研究了该算法的几项主要性质。理论分析与仿真结果表明,依据时序信号与标准中值滤波器根信号之一的单调顺序统计量的相似性度量所确定的自适应滤波器具有有效抑制复杂分布噪声、保护信号边缘及细节的良好性能。

Authors, in this paper, propose and analyze a new kind of detail-preserving adaptive filter algorithm according to relations between local temporal signal and its order statistics. Theoretical analysis and simulation results show that the adaptive filters determined by similarity measurement between temporal signal and monotonic order statistics which belongs to the root signal set of standard median filter have good performances in the aspects of removal of complicated distributed noises as well as preservation of signal edges and details.