Research of Hilbert Huang Transform Algorithm and its Improvement

Hilbert Huang transform (HHT) is a kind of time-frequency analysis method. It has been widely used because of its adaptability of empirical modal process and the integrity of feature extraction[1]. However, there are some defects in it. The two problems of end-point winging and extreme point fitting are obvious. This paper expounds the HHT algorithm, and the problem of end-point winging and extreme point fitting the problems are discussed and improved, and the experimental data are used to show the improved effect.