Aleksej Avramovic

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The paper presents a new multiplier enabling achievement of an arbitrary accuracy. It follows the same idea of number representation as the Mitchell’s algorithm, but does not use logarithm approximation. The proposed iterative algorithm is simple and efficient and its error percentage is as small as required. As its hardware solution involves adders and(More)
Digital signal processing algorithms often rely heavily on a large number of multiplications, which is both time and power consuming. However, there are many practical solutions to simplify multiplication, like truncated and logarithmic multipliers. These methods consume less time and power but introduce errors. Nevertheless, they can be used in situations(More)
Among the many categories of images that require lossless compression, medical images can be indicated as one of the most important category. Medical image compression with loss impairs of diagnostic value, therefore, there are often legal restrictions on the image compression with losses. Among the common approaches to medical image compression we can(More)
In this paper, we compare different approaches for classification of aerial images based on descriptors computed using visible spectral bands as well as additional information obtained from the near infrared band. We also propose different methods for incorporating dimensionality reduction into descriptor extraction process for both global and local texture(More)
Papillary transitional cell tumors of the renal pelvis and ureters occur more frequently in the Balkan countries than in other areas in the world. The populations involved are the same as those who are at risk to develop Balkan endemic nephropathy (BEN). Seventy-seven patients were treated in the Urology Clinic for papillary cell tumors of the renal pelvis(More)
Colon cancer is one of the deadliest diseases where early detection can prolong life and can increase the survival rates. The early stage disease is typically associated with polyps and mucosa inflammation. The often used diagnostic tools rely on high quality videos obtained from colonoscopy or capsule endoscope. The state-of-the-art image processing(More)
It is often the case in image classification tasks that image descriptors are of high dimensionality. While adding new, independent, features generally improves performance of a classifier, it increases its cost and complexity. In this paper we investigate how descriptor dimensionality reduction techniques, namely principal component analysis and(More)
There are many digital signal processing applications where a shorter time delay of algorithms and efficient implementations are more important than accuracy. Since squaring is one of the fundamental operations widely used in digital signal processing algorithms, approximate squaring is proposed. We present a simple way of approximate squaring that allows(More)
This paper presents a new multiplier with possibility to achieve an arbitrary accuracy. The multiplier is based upon the same idea of numbers representation as Mitchell's algorithm, but does not use logarithm approximation. The proposed iterative algorithm is simple and efficient, achieving an error percentage as small as required, until the exact result.(More)