一种有效的基于Chirplet自适应信号分解算法

基于线性调频小波(chirplet)的自适应信号分解法,将待分析的线性调频(Chirp)信号分解成为一组chirplet基函数的线性叠加,能够更清楚地表述Chirp信号的时频特征.其中关键的问题,是如何自适应地估计与信号最匹配的chirplet,这将影响到自适应分解的效果.目前,还没有一种有效chirplet估计算法.本文提出了一种新的chirplet估计算法,该法充分利用了chirplet的特点,具有较高的参数估计精度.仿真数据的实验结果证明了该方法的有效性.

An Efficient Algorithm for Adaptive Chirplet-Based Signal Decomposition

The adaptive chirplet decomposition,representation of Chirps by a class of chirplet,is an efficient approach in the time frequency structure analysis of chirp signals.Its key problem lies on the chirplet estimation,which greatly affects the decomposition results and hence is a major difficulty at present.In this paper,a simple numerical algorithm for estimating the chirplet with high accuracy is proposed,with which signal structure can be represented more clearly.Simulation results confirm the algorithm.