AfJstmct— In this paper, impact of phase noise on CDMAbased satellite communication system is analyzed and simulated. Satellite channel is modeled as combination of Rician fading and shadowed Rayleigh fading channels. The nonlinear Fokker-Planck method is employed to analyze the firstorder PLL (phase locked loop) performance. Phase noise is m,sdeled as Tikbonov distribution. The performance is ...

A complete first and second order statistical characterization of noise in SENSE reconstructed data is proposed. SENSE acquisitions have usually been modeled as Rician distributed, since the data reconstruction takes place into the spatial domain, where Gaussian noise is assumed. However, this model just holds for the first order statistics and obviates other effects induced by coils correlatio...

The paper’s subject is the elaboration of a new approach to image analysis on the basis of the maximum likelihood method. This approach allows to get simultaneous estimation of both the image noise and the signal within the Rician statistical model. An essential novelty and advantage of the proposed approach consists in reducing the task of solving the system of two nonlinear equations for two ...

Transmission of information over a discrete-time memoryless Rician fading channel is considered where neither the receiver nor the transmitter knows the fading coefficients. First the structure of the capacity-achieving input signals is investigated when the input is constrained to have limited peakedness. It is shown that uniform phase is optimal if there is a line of sight component and the c...

This analysis extends to Rician fading our earlier studies for Rayleigh fading of maximal-ratio eigencombining (MREC) — also known as eigenbeamforming — vs. maximal-ratio combining (MRC) and statistical beamforming (BF), for single-input multiple-output (SIMO) wireless systems. MREC is a superset of BF and MRC. Given instantaneous channel state information (ICSI), which is the channel gain vect...

This paper proposes a novel method for MRI denoising that exploits both the sparseness and self-similarity properties of the MR images. The proposed method is a two-stage approach that first filters the noisy image using a non local PCA thresholding strategy by automatically estimating the local noise level present in the image and second uses this filtered image as a guide image within a rotat...

This paper reveals a previously-unknown infinite linear combination of Gamma distributions with simple coefficients for the symbol-detection signal-to-noise ratio (SNR) in multiple-input/multiple-output (MIMO) communications employing spatial multiplexing and zero-forcing detection (ZF), whereby the intended (detected) and interfering symbol streams experience correlated Rician and Rayleigh fad...

Introduction: It has been shown that complex averaging benefits diffusion-weighted imaging (DWI) by reducing the influence of the noise bias in the ADC and DTI (1). Magnitude averaging in DWI is traditionally used to combine multi-directional and multiNEX diffusion data – to avoid the complication of random phase offsets, due to motion that occurs during the DW gradients. However, magnitude ave...

Introduction: The design of filtering methods for denoising the magnitude MRI images is traditionally fulfilled assuming that that image noise is zero-mean Gaussian, as Rician properties of magnitude MRI image noise usually complicates a method both algorithmically and computationally [1]. This widely used assumption leads to the biased filtering results, the bias increases as local signal-to-n...

This paper investigates the impact of concatenation of an interleaved low density parity check (LDPC) code with convolutional channel coding on the performance of the space time block coded (STBC) orthogonal frequency-division multiplexing (OFDM) wireless communication system on text message transmission. The concatenated channel encoded OFDM system deploys various digital modulations (BPSK, QP...