1. Methods of signal classification using the images produced by the Wigner–Ville distribution;Abeyskera;Pattern Reccognition Letters,1991
2. Principal component extraction using recursive least squares learning;Bannour;IEEE Trans. Neural Networks,1995
3. Méthodes temps-fréquence;Basseville;Traitment du signal,1992
4. N-folded symmetries by complex moments in Gabor space and their application to unsupervised texture segmentation;Bigun;IEEE Trans. Pattern Anal. Mach. Intell.,1994
5. Cichocki, A., Karsprzak, W., Skarbek, W., 1996. Adaptive learning algorithm for principal component analysis with partial data. In: Trappl, R. (Ed.), Cybernetics and Systems, Vol. 2. Austrian Society for Cybernetic Studies, Vienna, Austria, pp. 1014–1019