Higher-order statistics to detect and characterise termite emissions

Electronics Letters

Volumn 40, Issue 20, 2004, Pages 1316-1318

  De La Rosa, J J G ^a   Lloret, I ^a   Puntonet, C G ^b   Gorriz J M ^a  

^a UNIVERSITY OF CÁDIZ   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC EMISSIONS; FOURIER TRANSFORMS; MATRIX ALGEBRA; MICROPHONES; SENSORS; SET THEORY; SIGNAL TO NOISE RATIO; STATISTICAL METHODS;

ACOUSTIC SIGNALS; ALARM SIGNALS; HIGHER-ORDER STATTISTICS; TERMITE EMISSIONS;

TERMITE RESISTANCE;

EID: 6444231742     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20045664     Document Type: Article

References (6)

1. Robbins, W.P., Mueller, R.K., Schaal, T., and Ebeling, T.: 'Characteristics of acoustic emission signals generated by termite activity in wood'. IEEE Ultrasonic Symp., Orlando, FL, USA, 1991, pp. 1047-1051
2. Puntonet, C.G., and Mansour, A.: 'Blind separation of sources using density estimation and simulated annealing', IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2001, E84-A
3. Chambers, J.A., Jafari, M.J., and McLaughlin, S.: 'Variable step-size EASI algorithm for sequential blind source separation', Electron. Lett., 2004, 40, (6), pp. 393-394
4. Górriz, J.M., Puntonet, C.G., de la Rosa, J.J.G., and Salmerón, M.: 'Time-series forecasting using RBFs and exogenous data, intelligent systems design and applications', ser. Advances in Soft-Computing (Springer-Verlag, Berlin/Heidelberg/New York), 2003, p. XVIII
5. Jakubowsky, J., Kwiatos, K., Chwaleba, A., and Osowsky, S.: 'Higher order statistics and neural network for tremor recognition', IEEE Trans. Biomed. Eng., 2002, 49, (2), pp. 152-159
6. Mendel, J.M.: 'Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications', Proc. IEEE, 1991, 79, (3), pp. 278-305