The denoising of magnetic resonance (MR) images is a task of great importance for improving the acquired image quality. Many methods have been proposed in the literature to retrieve noise free images with good performances. Howerever, the state-of-the-art denoising methods, all needs a time-consuming optimization processes and their performance strongly depend on the estimated noise level param...

The aim of this study was to investigate the performance enhancement of dual relay cooperative wireless network by using Amplify and Forward (AF) relaying protocol in Rician fading channel with different Kfactors. The bit error rate (BER) and BER gain by using AF scenario in Rician fading channel are derived. The results obtained from the proposed models are compared to AF scenario in Rayleigh ...

We consider the problem of the optimal route selection in the presence of Rician fading channel. The variation in the signal strength due to fading is an overlooked fact in the wireless sensor networks. The conventional route selection strategies neglect the effect of fading and provide the low throughput routes for the data transmission. We consider the underlying dynamics of the wireless comm...

In functional magnetic resonance imaging (fMRI), the general linear model test (GLMT) is widely used for brain activation detection. However, the GLMT relies on the assumption that the noise corrupting the data is Gaussian distributed. Because the majority of fMRI studies employ magnitude image reconstructions, which are Rician distributed, this assumption is invalid and has significant consequ...

Background Current imaging methods, including BOLD MR imaging, cannot reliably quantify muscle oxygenation in patients with limb ischaemia. The BOLD response is complex and measurements have so far been performed in relatively low-resolution EPI-readout images where it may be difficult to exclude oxygenation changes from partial volume effects. The reproducibility of BOLD imaging has been low a...

Abstract—Magnetic Resonance Imaging (MRI) is one of the most important medical imaging modality. Subjective assessment of the image quality is regarded as the gold standard to evaluate MR images. In this study, a database of 210 MR images which contains ten reference images and 200 distorted images is presented. The reference images were distorted with four types of distortions: Rician Noise, G...

In this paper, we study denoising of multicomponent images. The presented procedures are spatial wavelet-based denoising techniques, based on Bayesian leastsquares optimization procedures, using prior models for the wavelet coefficients that account for the correlations between the spectral bands. We analyze three mixture priors: Gaussian scale mixture models, Bernoulli-Gaussian mixture models ...

We Analysis will be carried out for an OFDM wireless communication system using space time block code (STBC) at the transmitter and considering the effect and the wireless channel like delay spread and fading. The analysis will include the effect of imperfect timing recovery at the output of the receiver. In this contribution both Low-Density Parity-Check (LDPC) coding and RS coding space-time ...

Modern communication systems are adopting new Morden technologies like OFDM (Ortogonal Frequency Division Multiplexing) and LDPC (Low Density Parity Check) for achieving high performance, low Bit Error Rate (BER) and high capacity. The OFDM communication is inspired effectively from the frequencies of channel over the network. In this type of network some kind of distortion occurs over the chan...

Magnetic resonance (MR) images are normally corrupted by random noise which makes the automatic feature extraction and analysis of clinical data complicated. Hence there is a necessity to denoise MR images for better analysis. Therefore, several denoising methods have been applied to improve MR image quality. Disadvantage of previous methods are reconstruction process is complicated and time co...