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A new improved, easily implementible learning algorithm for blind separation of statistically independent unknown source signals is proposed. In contrast to the well known algorithms, two time… Expand
Abstract We present several modifications of blind separation adaptive algorithms which have significant advantages over the well-known Herault–Jutten learning algorithm in handling ill-conditioned… Expand
The paper presents the system for automatic recognition of the leukemia blast cells on the basis of the image of the bone marrow aspirate. The recognizing system uses support vector machine (SVM) as… Expand
The paper presents the preprocessing methods of the leukemic blast cells image in order to generate the features well characterizing different types of cells. The solved problems include: the… Expand
Abstract The paper presents the new method for calculating a coverage factor. In this case the calculation is done in a linear combination of the both the Gaussian and the rectangular distribution.… Expand