Adaptive filtering has become a spacious area of researcher since last few decades in the field of communication. Adaptive noise cancellation is an approach used for noise reduction in speech signal. The received speech signal at the receiver easily gets corrupted by background and channel noise where both speech signal and noise signal changes continuously with time, then to separate them adap...

The paper examines the impact of Rician fading on the orthogonality of dual-polarized MIMO channels in a measured urban macrocellular scenario. The measurements confirm the previous finding that the Rician K-factors of the crosspolarized channels are strongly correlated to those of the copolarized channels. However, the Rician K-factors do not in general give direct indications on the orthogona...

SURE-LET Approach is used for reducing or removing noise in brain Magnetic Resonance Images (MRI). Removing or reducing noise is an active research area in image processing. Rician noise is the dominant noise in MRIs. Due to this type of noise, the abnormal tissue (cancerous tissue) may be misclassified as normal tissue and introduces bias into MRI measurements that can have significant impact ...

In this paper, we investigate the bit error rate (BER) performance of Orthogonal frequency division multiplexing (OFDM)-Binary phase shift keying (BPSK) OFDM-Quadrature phase shift keying (QPSK), OFDM-Quadrature amplitude shift keying (QAM) over different fading channels. The performance of transmission modes are evaluated by calculating the BER versus signal to noise ratio (SNR) under the Addi...

We present a method for the estimation of various features of the tissue micro-architecture using the diffusion magnetic resonance imaging. The considered features are designed from the displacement probability density function (PDF). The estimation is based on two steps: first the approximation of the signal by a series expansion made of Gaussian-Laguerre and Spherical Harmonics functions; fol...

This paper presents a novel method for denoising MR images that relies on an optimal estimation, combining a likelihood model with an adaptive image prior. The method models images as random fields and exploits the properties of independent Rician noise to learn the higher-order statistics of image neighborhoods from corrupted input data. It uses these statistics as priors within a Bayesian den...

In this letter, we investigate a reconfigurable intelligent surfaces (RIS)-aided device to (D2D) communication system over Rician fading channels with imperfect hardware including both impairment at the transceivers and phase noise RISs. This letter has optimized shift by genetic algorithm (GA) method maximize achievable rate for continuous shifts (CPSs) discrete (DPSs). We also consider two sp...

Macrodiversity system with macrodiversity selection combining (SC) receiver and two microdiversity SC receivers is considered. Received signal is affected simultaneously to Gamma long term fading and Rician short term fading resulting in system performance degradation. Macrodiversity SC receiver reduces Gamma shadowing effects and microdiversity SC receivers reduce multipath fading effects on b...

In this paper channel assignment in ad hoc network using by channel impulse response is described. The distribution of channel impulse response is appropriate for the estimation of two propagation components (LOS – Line-of-Sight, NLOS – NonLine-of-Sight). The Rician factor K, represents the type of distribution, namely LOS component has Rician distribution and NLOS component has Rayleigh distri...