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A Full rank regularization technique for MMSE detection in Multi user CDMA systems


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PROJECT TITLE : Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer ABSTRACT: The goal of low-rank minimization is to recover a matrix with the lowest possible rank while still satisfying the constraints
PROJECT TITLE : A Benchmark for Sparse Coding When Group Sparsity Meets Rank Minimization ABSTRACT: In the field of image processing, sparse coding has been a huge success. An image patch/group sparsity benchmark is lacking since
PROJECT TITLE : From Rank Estimation to Rank Approximation Rank Residual Constraint for Image Restoration ABSTRACT: Rank residual constraint (RRC) model is a new approach to the problem of rank minimization that we present in
PROJECT TITLE :Rank Properties for Matrices Constructed From Time Differences of Arrival - 2018ABSTRACT:Time Difference of Arrival (TDOA) positioning has been a lively analysis over the years due to its made amounts of applications.
PROJECT TITLE :Light Field Inpainting Propagation via Low Rank Matrix Completion - 2018ABSTRACT:Building up on the advances in low rank matrix completion, this Project presents a unique method for propagating the inpainting of

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