This work deals with an extension of the standard recursive least squares (RLS) algorithm. It allows to prune irrelevant coefficients of a linear adaptive filter with sparse impulse response and it provides a regularization method with automatic adjustment of the regularization parameter. New update equations for the inverse auto-correlation matrix estimate are derived that account for the cont...

in this paper, downlink resource allocation for a sparse code multiple access (scma) based heterogeneous  cellular networks (hcn) is investigated. the main aim of this paper is to obtain joint power allocation and codebook assignment to achieve the least total system transmit power. in this regard, the proposed objective function is formulated as total transmit power subject to users minimum ra...

Interventional Radiology (IVR) is an important technique to visualize and diagnosis the vascular disease. In real medical application, a weak x-ray radiation source is used for imaging in order to reduce the radiation dose, resulting in a low contrast noisy image. It is important to develop a method to smooth out the noise while enhance the vascular structure. In this paper, we propose to combi...

Finding a sparse representation of a possibly noisy signal can be modeled as a variational minimization with `q-sparsity constraints for q less than one. Especially for real-time and on-line applications, one requires fast computations of these minimizers. However, there are no sufficiently fast algorithms, and to circumvent this limitation, we consider minimization up to a constant factor. We ...

Dimension reduction and variable selection play important roles in high dimensional data analysis. The sparse MAVE, a model-free variable selection method, is a nice combination of shrinkage estimation, Lasso, and an effective dimension reduction method,MAVE (minimum average variance estimation). However, it is not robust to outliers in the dependent variable because of the use of least-squares...

Pyroplastic deformation is a distortion of the ceramic shape during the sintering process. It occurs because the flow of the vitreous phase at high temperature and the applied stress due to the weight of the product during sintering process. The aim of this paper deals with describing a numerical-experimental method to evaluate the pyroplastic deformation, to predict the anisotropic shrinkage a...

Many well-known machine learning and pattern recognition methods can be seen as special cases of sparse minimization of Positive Definite Quadratic Forms (PDQF). An algorithm framework of sparse minimization is proposed for PDQF. It is theoretically analyzed to converge to global minimum. The computational complexity is analyzed and compared with the state-of-the-art Fast Iterative ShrinkageThr...

Image matching is a key research issue in the intelligent processing of remote sensing images. Due to large phase differences or apparent ground features between unmanned aerial vehicle imagery and satellite imagery, as well number sparsely textured areas, image two types very difficult. Tackling difficult problem feature sparse region detection enhancement algorithm (SD-ME) proposed this study...