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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 crosscorrelation analysis is applied to remove pseudo-spectral components. The algorithm proposed by this paper is able to correctly identify spectral patterns of our signal.

The Detection Data of Mammary Carcinoma Processing Method Based on the Improved HHT