The speckle-reduced estimate is found using the first order Bayesian inference and the best model's parameters are estimated using the second order Bayesian inference. The experimental results showed that the combination of Bayesian inference and bandelet transform outperforms the contourlet-based despeckling algorithm using synthetic data and the objective measurements.
COBISS.SI-ID: 13422870
This paper presents the despeckling of Single Look Complex (SLC) Synthetic Aperture Radar (SAR) images using non-quadratic regularization. The objective function consists of the image model, a gradient, and a prior model. The Huber- Markov random field models the prior. The numerical solution is achieved through extensions of half-quadratic regularization methods using complex-valued SAR data. The proposed method using the Huber-Markov random field prior together with nonquadratic regularization shows the superior results on SLC synthetic and actual SAR images.
COBISS.SI-ID: 13424150
At modeling we used the following criteria: average bit rate, average packet rate, Hurst parameter, and histograms of statistical network traffic processes. We discover that the shape parameter of Pareto distribution has a great impact on simulated traffic, and also that classical estimation usually leads to significant discrepancies between measured and simulated traffic at average bit rate and bursts, which are characteristic of self-similar traffic.
COBISS.SI-ID: 14765078
We have developed a method, which allows distribution parameters' estimation of data sources' process from captured packets. This method is based on the algorithm, which mimics de-fragmentation as opposite to the TCP/IP fragmentation and encapsulation processes. Proposed method achieves an accurate description of network traffic.
COBISS.SI-ID: 14478358
This paper presents varied concepts for improving the reliability of transmission equipment and the digital television network. The solutions applied regarding transmitter: exciter and power amplifiers; system: dual drive and complex solutions with N-redundancies, and network: the reliability and coverage aspects in both multi-frequency and single frequency networks. On the end is analysis of random failure of any part of the transmitter plus the presentation of some basic information about it architecture.
COBISS.SI-ID: 1024027484