The ongoing work at the University of Ljubljana, oriented towards application of Singular Value Decomposition in Digital Signal Processing shall be presented in the following work. It has been shown by many authors that the SVD can be an effective tool in solving problems like signal detection, signal parameter estimation, signal separation, adaptive filtering and equalisation. It has been show...

This paper generalizes the proportionate-type adaptive algorithm to graph signal processing and proposes two recovery algorithms. The gain matrix of proportionate leads faster convergence than least mean squares (LMS) algorithm. In this paper, is obtained in a closed-form by minimizing gradient mean-square deviation (GMSD). first LMS (Pt-GLMS) which simply uses recursion process accelerates Pt-...

Impedance microfluidic cytometry is a noninvasive, label-free technology that can characterize the dielectric properties of single particles (beads/cells) at high speed. In this paper we show how digital signal processing methods are applied to the impedance signals for noise removal and signal recovery in an impedance microfluidic cytometry. Two methods are used; correlation to identify typica...

Now a day we have various intelligent computing tools such as artificial neural network (ANN) and fuzzy logic approaches are proving to be dexterous when applied to a range of problems. In this paper we applied the ANFIS (Adaptive Neuro-Fuzzy Interface System) tool for detecting the normal and abnormal signal. Here the designed ANFIS model contained both approaches the neural network adaptive p...

In over-the-horizon radar (OTHR) systems, the signal-to-clutter ratio (SCR) used for moving target detection is very low. For slowly moving targets such as ships, the SCR is typically from 250 dB to 260 dB and their Doppler frequencies are close to that of the clutter. For manoeuvring targets, such as aircraft and missiles, the Doppler frequencies are time-varying when a long integration time i...

Abstract The ways of overcoming the problems caused by specific asymmetry side lobes channels formed at output cylindrical antenna arrays with a horizontal generatrix, which are relevant for underwater robots, considered. An algorithmic solution is proposed based on use adaptive signal power limitation solving detection-direction finding in combination non-adaptive reception or diagonal loading...

A novel adaptive beamforming receiver is proposed for a multiple-input multiple-output (MIMO) communication system over multipath fading channels. By dividing a large number of receive antennas into many adaptive beamformers (ABFs), the proposed system reduces the array dimension in order to simplify the signal detection process and enjoys the benefit of beamforming techniques to improve the sy...

Performance of the linear models, widely used within the framework of adaptive line enhancement (ALE), deteriorates dramatically in the presence of non-Gaussian noises. On the other hand, adaptive implementation of nonlinear models, e.g. the Volterra filters, suffers from the severe problems of large number of parameters and slow convergence. Nonetheless, kernel methods are emerging solutions t...