Abstract This article examines coverage probability for a multi-user hybrid satellite terrestrial relay network (HSTRN) with opportunistic user scheme. Better quality information are gathered via HSTRN-based networks users on the ground. Simultaneous signals amplified by relays and relayed to highest instantaneous signal-to-noise ratio (SNR) an individual channel. Analytically approximate is de...

In this paper, we propose a mathematical framework for the analysis of Bluetooth systems energy efficiency. The dynamic of the system is modelled by means of a finite state Markov chain (FSMC). Hence, we resort to the renewal reward theory to derive an estimation of the average throughput and energy efficiency achieved by the different packet formats, both for AWGN and Rician fading radio chann...

Background Quantification of myocardial and liver iron load has become a mainstay of guiding therapy in thalassaemia patients. However, current quantification methods are user dependent for data-point exclusion before curve fitting, and do not report the T2* certainty. Recently, an automatic inline maximum likelihood estimate (MLE) method with k-space Rician noise correction was validated again...

Ammar Izzeldin Mohammed, Khalid Hamid Bilal Abstract— The paper discusses the model building of the cognitive radio system by using MATLAB Simulink model. This model is a useful tool for BER (Bit error rate) performance evaluation for the real data communication by the cognitive radio system under different communication channels and Multi level Quadrate Amplitude Modulation which are described...

This paper shows that the proposed Rician shadowed model for multi-antenna communications allows for the unification of a wide set of models, both for multiple-input multiple output (MIMO) and single-input single output (SISO) communications. The MIMO Rayleigh and MIMO Rician can be deduced from the MIMO Rician shadowed, and so their SISO counterparts. Other SISO models, besides the Rician shad...

An enhanced classification system for classification of brain tumor from MR images using association of kernels with support vector machine is developed and presented in this paper. Oriented Rician Noise Reduction Anisotropic Diffusion filter is used for image denoising. A modified fuzzy c-means algorithm termed as Penalized fuzzy c-means algorithm is used for image segmentation. The texture an...

The well-known noise distributions of MRI data (Rayleigh, Rician, or non-central chi-distribution) describe the probability density of real-valued (i.e. floating-point) signal intensities. MR image data, however, is typically quantized to integers before visualization or archiving. Depending on the scaling factors applied before the quantization and the signal-to-noise ratio (SNR), very low noi...