Title :
Comparison of EMD and Complex EMD in Signal Processing
Author :
Yunchao Gao ; Enfang Sang ; Zhengyan Shen
Author_Institution :
Coll. of Underwater Acoust. Eng., Harbin Eng. Univ., Harbin
Abstract :
As an extension of Empirical Mode Decomposition (EMD) in complex, Complex Empirical Mode Decomposition (CEMD) is a powerful tool for complex data. The characteristic of CEMD under the complex white Gaussian noise has been studied. It is proved that CEMD is a dyadic filter bank. Experiment has been carried with simulated signal from the vector sensor, and analyzing the complex signal by EMD has compared with analyzing it by CEMD. From the result of simulation, it has been proven that CEMD is better than the original EMD.
Keywords :
Gaussian noise; filtering theory; signal processing; complex data; complex empirical mode decomposition; complex white Gaussian noise; dyadic filter bank; signal processing; vector sensor; Acoustic sensors; Acoustic signal processing; Acoustical engineering; Data engineering; Object detection; Power engineering and energy; Sensor phenomena and characterization; Signal analysis; Signal processing; Underwater acoustics; EMD; HHT; complex EMD; signal processing; vector sensor;
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3119-9
DOI :
10.1109/CISP.2008.195
