资 源 简 介
Hilbert-Huang (HHT) 轉換方法是黃鍔根據近代知名數學家 Hilbert 的數學理論設計，做爲分析非穩定或非線性的訊號The Hilbert–Huang transform (HHT) is a way to decompose a signal into so-called intrinsic mode functions (IMF) along with a trend, and obtain instantaneous frequency data. It is designed to work well for data that is nonstationary and nonlinear. In contrast to other common transforms like the Fourier transform, the HHT is more like an algorithm (an empirical approach) that can be applied to a data set, rather than a theoretical tool.
