瞬时频率估计算法研究进展综述

Advances and Trends in Instantaneous Frequency Estimation Methodology

首先介绍了瞬时频率的物理概念、经典定义及其适用范围。结合瞬时频率估计算法的最新研究进展,根据相似性将估计算法进行了系统分类,其中将单分量信号估计算法分为相位法、谱峰检测法、过零点法与Teager能量算子法以及求根估计法;将多分量信号估计算法分为相位法、谱峰检测法、求根估计法和希尔伯特-黄变换(HHT)法。特别地,对近年来出现的各种多分量信号估计算法的估计原理、适用范围及优缺点进行了详细的分析和比较。最后展望了瞬时频率估计算法研究的主要发展方向。

Introduction to the physical concept, classical definition and application scope of instantaneous frequency （IF） is given. With combination of the most recent advances in IF estimation methodologies, estimation algorithms are categorized systematically according to similarity, among which the estimation algorithms for mono-component signals are classified as Phase Method, Peaks Detection Method, Zero-Crossing Method and Teager Energy Operator Method, as well as Roots Searching Method, and that for multi-component signals are classified as Phase Method, Peaks Detection Method, Roots Searching Method and Hilbert-Huang （HHT） Method. The detailed analyses and comparisons are made to account for the estimation principle, application scope and features of the prevailing estimation algorithms presented most recently for multi-component signals, and some possible directions in IF estimation research are tipped.