摘要: 信号中的α稳定分布噪声会使自适应时频分布方法失效。针对该问题,利用分数低阶统计量理论,提出一种改进的分数低阶自适应时频分布。为了实现带噪信号的实时在线处理及长时间信号的时频分布分析,给出一种分数低阶短时自适应时频分布。仿真结果表明,2种方法都能在含有α稳定分布噪声和高斯噪声的环境下进行有效的时频分布分析。
关键词:
自适应时频分布,
分数低阶模糊函数,
α稳定分布,
最优核函数,
分数低阶短时自
Abstract: In order to solve the problem that adaptive time-frequency distribution method is invalid in α stable distribution noise environment, this paper proposes an improved Fractional Low-order Adaptive Time-frequency Distribution(FLO-ATFD). And it proposes Fractional Low-order Short Time Adaptive Time-frequency Distribution(FLO-STATFD) to analyze time-frequency distribution of long-time signals and process signals on-line in α stable distribution noise environment. Simulation results indicate that two methods perform effective time-frequency distribution analysis in α stable distribution noise and Gaussian distribution noise environment.
Key words:
adaptive time-frequency distribution,
fractional low-order ambiguity function,
α stable distribution,
optimal kernel function,
Fractional Low-order Short Time Adaptive Time-frequency Distribution(FLO-STATFD)
中图分类号:
龙俊波, 汪海滨, 查代奉. 基于稳定分布噪声的分数低阶自适应时频分布[J]. 计算机工程, 2011, 37(18): 81-83.
LONG Dun-Bei, HONG Hai-Bin, CHA Dai-Feng. Fractional Low-order Adaptive Time-frequency Distribution Based on Stable Distribution Noise[J]. Computer Engineering, 2011, 37(18): 81-83.