This paper presents a model-based despeckling of SAR images using Bayesian analysis. The SAR image is despeckled using first-order Bayesian inference. The novelty in this paper is an autobinomial model, which models a prior pdf; meanwhile, the likelihood pdf is modeled as a gamma distribution. The best ABM for approximating the texture parameters in SAR images is found by using second-order Bayesian inference. Coefficient of variation is used to distinguish between homogeneous and heterogeneous areas.
COBISS.SI-ID: 13292566
This paper presents two methods for SAR image despeckling. The first one models a prior by Generalized Gaussian (GG) pdf and the second one models a prior by a Generalized Gaussian Markov Random Field (GGMRF) which enables texture parameter estimation. The likelihood pdf is modeled by a Gaussian pdf. The particles are drawn from GGMRF prior estimate noise-free wavelet coefficients. For them the texture parameter is changed in order to obtain the best textural parameters. The particles with the highest weights represent the final noise-free estimate with corresponding textural parameters.
COBISS.SI-ID: 13420310
The Multilateral Interoperability Program (MIP) was established to promote harmonized operational functions for international peace-keeping forces. The C2IEDM/JC3IEDM ensures the interconnection of C2ISs throughout all levels of military forces. For simulation of tactical networks we have developed models for replication mechanism for program OPNET.
COBISS.SI-ID: 12945174
This paper introduces new concepts for the modeling of measured network traffic in simulation tools. With these new concepts, we can improve descriptions of the random packet-size process, especially for maximal-packets of network traffic, which have a very great impact on the bit or packet rates of network traffic. The suggested methods improve the contents of packets, especially maximal packets in modeled network traffic simulations, which leads to smaller differences in bit and packet-rates between measured and modeled network traffics.
COBISS.SI-ID: 13328918
This paper presents a novel data modulation scheme CCD-OFDM-ASK. This modulation is successfully applied in the mobile payment system. It is used to transmit the digital data over the speech channel of the mobile communication system GSM, ANG or CDMA. The main features of CCD-OFDM-ASK are: precise signal synchronization between the modulator and demodulator, signal energy independent operation, on line adaptation of frequency characteristics of the transmission channel, and controlled frequency bandwidth thus enabling non-overlapped full duplex communication over the GSM's voice channel.
COBISS.SI-ID: 13117718