@article{Han_Han_2013, title={The Detection Data of Mammary Carcinoma Processing Method Based on the Improved HHT}, volume={9}, url={https://online-journals.org/index.php/i-joe/article/view/2847}, DOI={10.3991/ijoe.v9iS6.2847}, abstractNote={This paper presents a new algorithm for the analysis of spectral properties of signal of BRATUMASS (Breast tumor microwave sensor system) using the wavelet packet transform (WPT) and the Hilbert-Huang transform (HHT). A wavelet subspace algorithm combined with the empirical mode decomposition (EMD) is introduced to create subdivided intrinsic mode functions (IMFs) and a cross-correlation analysis is applied to remove pseudo-spectral components. The algorithm proposed by this paper is able to correctly identify spectral patterns of our signal.}, number={S6}, journal={International Journal of Online and Biomedical Engineering (iJOE)}, author={Han, Ling Zhong and Han, Zhongming}, year={2013}, month={Jun.}, pages={pp. 69–72} }