We derive a fast maximum likelihood based (MLB) decoder for a multi-input multi-output (MIMO) Rician fading channel with additive white Gaussian noise (AWGN). The basic idea is to take profit of the Rician channel structure to significantly reduce the search of the optimum vector of symbols by the ML criterion. When channel diversity is low, we obtain bit error rates (BER) which are very close ...

Communication over a discrete time-varying Rician fading channel is considered, where neither the transmitter nor the receiver has the knowledge of the channel state information (CSI) except the fading statistics. We provide closed form expressions to the mutual information under both average and peak input power constraint when its distribution is complex Gaussian. The results are compared wit...

Transmission of information over a discrete-time memoryless Rician fading channel is considered. The noncoherent scenario, where neither the receiver nor the transmitter knows the fading coefficients, is assumed. If the input is subject to a peak-power constraint, it is shown that uniformly distributed phase is optimal and the capacity-achieving amplitude distribution is discrete with a finite ...

In this paper, we applied Continuous Phase Frequency Shift Keying (CPFSK) to Trellis Coded Quantization/Modulation (TCQ/TCM) and thus we called Trellis Coded Quantization/ Continuous Phase Modulation (TCQ/TCCPM) for this new system. In this new scheme we use continuous phase frequency shift keying signal set instead of phase shift keying signal set. As an example, an eight state TCQ/TCCPM syste...

The performance of a dual-hop amplify-and-forward relay system, which experiences mixed Nakagami-m and Rician fading channels, is investigated. Based on the closed-form cumulative probability density function of the equivalent end-to-end signal-to-noise ratio, the exact expressions for outage probability and average symbol error probability are derived. The theoretical observations are verified...

In today's world, cellular communication is rapidly expanding. One of the most common strategies for assigning spectrum users in multiple access strategy. Because number people using continually expanding, allotment an important factor to consider. To channel fifth-generation mobile communication, a method known as non-orthogonal (NOMA) used. NOMA promising improving sum rate and spectral effic...

There is a growing interest in using multiresolution noise filters in a variety of medical imaging applications. We review recent wavelet denoising techniques for medical ultrasound and for magnetic resonance images and discuss some of their potential applications in the clinical investigations of the brain. Our goal is to present and evaluate noise suppression methods based on both image proce...

In this paper, a novel filter based on the nonlocal mean (NLM) filter is to improve the denoisingeffect. Bilateral filtering for MRimages. Its formulation and implementation are easy but the performance of bilateral filter depends upon its parameter. We have applied bilateral filtering on Brain web MR images which are corrupted by rician noise. It is nonlinear filter to preserve edges. The perf...

We propose a novel variational method for Magnetic Resonance Image denoising which is based on the modelling of Rician noise. In the context of MAP estimation the resulting energy functional is minimized embedding its Euler-Lagrange equation in an iterative regularization scheme. The algorithm is tested with synthetic MR images and the results show the effectiveness of the method which provides...

We consider the problem of estimating the Doppler shift and rate of a linearly modulated digital signal subject to time-selective Rician fading. We derive the Cram er-Rao bounds for the parameters; we propose an estimator, based on the Higher-order Ambiguity Function (HAF), and show that it is consistent. We also establish some interesting results in the context of estimating the parameters of ...