基于广义解调时频分析的多分量复杂信号分解方法

在广义解调时频分析方法的基础上,将该方法应用于多分量时频变化信号的分解,并对该方法进行了改进,给出了由改进的广义解调时频分析方法分解多分量复杂信号的具体步骤.重点分析了自动获取相位函数的方法,以及对分离出来的各单分量再次进行广义时频解调的问题,得到了比较理想的时频分布.仿真实验结果证明:此法不仅可以得到原始信号中各分量的时域波形,同时也可以得到各分量的时频分布,从而为多分量复杂时频变化信号的准确分离提供了有效途径.

A Multi-Component and Complicated Signal Decomposition Method Based on the Generalized Demodulation Time-Frequency Analysis

The generalized demodulation time-frequency analysis approach is a new signal processing method, In this paper,it is introduced and applied to the decomposition of the multi-composition signals whose frequency is time-varying.For the generalized demodulation time-frequency analysis method ,the improvement has been completed and the method by which the multi-component signal can be decomposed is given .The problems of the method of how to get the phase function and how to obtain the ideal time-frequency distribution by the generalized demodulation time-frequency analysis approach used in the single-component signals got from the original signal are analyzed.The simulation experiment results demonstrate that by using this method not only the time domain wave of the single-component signals in the original signal can be obtained but also the same time-frequency distribution can be got, and an effective method is provided for multi-composition signals whose frequency is time-varying.