Complexity-effective Hilbert-Huang transform (HHT) IP for embedded real-time applications

This paper presents a complexity-effective HHT IP for embedded real-time applications. The proposed HHT improves the original empirical mode decomposition (EMD) to reduce the interferences between signal components with filtering, similar to that in the wavelet transform. The IMF and residue signals are compacted to reduce computation and storage. Multirate Hilbert spectral analysis (HSA) is performed to further reduce computations. A prototype of an embedded HHT analyzer has been built to demonstrate the effectiveness.