In this article, a face recognition system using the Principal Component Analysis (PCA) algorithm was implemented. The algorithm is based on an eigenfaces approach which represents a PCA method in which a small set of significant features are used to describe the variation between face images. Experimental results for different numbers of eigenfaces are shown to verify the viability of the proposed method

Optimal selection of decomposition levels in wavelet transform used for both HF and LF filtering of ECG signal is described. By analyzing different types of wavelets and selected decomposition levels, the best parameters are determined and their statistical performances are derived. Three Physionet's ECG databases were used as a test-bed.

In image processing edges are observed as singularities. Calculating gradient is regular procedure for locating edges within the image. However, there are edges with different order of that given by gradient. Hӧlder exponent gives mathematical background for different types of edges considering differentiation. In this paper we analyze some well known capacities, needed in pointwise Hӧlder exponent calculation, and introduce a new capacity measure based on local image statistics.

Analysis of the room impulse response is main problem in room acoustics. Here we propose using Katz fractal dimension for analysis of room impulse responses, applied on Schroeder curve. The methodology used in this paper together with the obtained results shows some of the possible directions in the application of fractals in room acoustics.

No abstract