The stochastic-gradient-descent LMS adaptive filtering algorithm provides a powerful and computationally efficient means of realizing adaptive filters. In this work, we present architectural synthesis of low-power computational engines (or hardware accelerators) for LMS adaptive filtering. This engine could be configured for delayed LMS/delayed normalized LMS, full-band/subband adaptive filteri...

MRI is one of the most powerful techniques to study the internal structure of the body. MRI image quality is affected by various noises. Noises in MRI are usually thermal and mainly due to the motion of charged particles in the coil. Noise in MRI images also cause a limitation in the study of visual images as well as computer analysis of the images. In this paper, first, it is proved that proba...

In this paper, the adaptive ltering method is introduced and analysed. This method leads to robust algorithms for the solution of systems of linear equations which arise from the discreti-sation of partial diierential equations with strongly varying coeecients. These iterative algorithms are based on the tangential frequency ltering decompositions (TFFD). During the iteration with a preliminary...

In recent years, correntropy has been successfully applied to robust adaptive filtering eliminate adverse effects of impulsive noises or outliers. Correntropy is generally defined as the expectation a Gaussian kernel between two random variables. This definition reasonable when error variables symmetrically distributed around zero. For case asymmetric distribution, symmetric however inappropria...