Title :
Source separation of multichannel acoustic signals measured from living trees
Author :
He, Taigang ; Hansson, Maria ; Axmon, Joakim
Author_Institution :
Dept. of Appl. Electron., Lund Univ., Sweden
Abstract :
The method in this paper is applied to vibration analysis of the tree trunk. The measured vibrations are believed to provide information about wave coupling and propagation, which may contribute to the detection of decay inside trees. A new signal model is presented and a source separation method using independent component analysis is applied. The aim of the study is to separate the multiple measured signals into independent sources for further analysis. The performance of the method used is investigated using simulated data and real data measured from living trees. The results of simulations validate the proposed method, while the applications justify the signal model, showing that the real multichannel data can be successfully separated into sources similar to harmonic oscillations
Keywords :
acoustic signal processing; acoustic wave propagation; adaptive signal processing; statistical analysis; vibration measurement; adaptive algorithm; decay detection; harmonic oscillations; independent component analysis; independent sources; living trees; multichannel acoustic signals; real multichannel data; signal model; simulated data; source separation; statistical model; tree trunk; vibration analysis; vibration measurement; wave coupling; wave propagation; Acceleration; Accelerometers; Acoustic measurements; Acoustic signal detection; Frequency; Independent component analysis; Position measurement; Pulse measurements; Source separation; Vibration measurement;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894531