An Efficient Algorithm for Adaptive Chirplet-Based Signal Decomposition

ZOU Hong; BAO Zheng

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An Efficient Algorithm for Adaptive Chirplet-Based Signal Decomposition

更新时间：2025-07-16

- An Efficient Algorithm for Adaptive Chirplet-Based Signal Decomposition
- Acta Electronica Sinica Vol. 29, Issue 4, Pages: 515-517(2001)
- 作者机构：
  
  西安电子科技大学雷达信号处理重点实验室,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957.52
- Published：2001
- 稿件说明：
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ZOU Hong, BAO Zheng. An Efficient Algorithm for Adaptive Chirplet-Based Signal Decomposition[J]. Acta Electronica Sinica, 2001, 29(4): 515-517.
DOI：

ZOU Hong, BAO Zheng. An Efficient Algorithm for Adaptive Chirplet-Based Signal Decomposition[J]. Acta Electronica Sinica, 2001, 29(4): 515-517. DOI：

摘要

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.

Abstract

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.

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