PROJECT TITLE :

Explicit List-Decodable Rank-Metric and Subspace Codes via Subspace Designs

ABSTRACT:

We construct an explicit family of -linear rank-metric codes over any field that enables efficient list-decoding up to a fraction of errors within the rank metric with a rate of , for any desired and . This is the first explicit construction of positive rate rank-metric codes for economical list-decoding beyond the distinctive decoding radius. Our codes are specific subcodes of the well-known Gabidulin codes, that encode linearized polynomials of low degree via their values at a collection of linearly freelance points. The subcode is picked by restricting the message polynomials to an -subspace that evades the structured subspaces over an extension field that arise in our linear-algebraic list decoder for Gabidulin codes. This subspace is obtained by combining subspace styles created by Guruswami and Kopparty (FOCS’thirteen) with subspace-evasive varieties due to Dvir and Lovett (STOC’twelve). We establish an analogous result for subspace codes, that have received much attention recently in the context of network coding. We tend to additionally give express subcodes of folded Reed–Solomon (RS) codes with tiny folding order, which are list-decodable (in the Hamming metric) with optimal redundancy, motivated by the actual fact that list-decoding RS codes reduc- s to list-decoding such folded RS codes. But, as we solely list-decode a subcode of these codes, the Johnson radius continues to be the most effective known error fraction for list-decoding RS codes.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure ABSTRACT: It can be difficult to make accurate predictions about the occurrence of complex chronic conditions
PROJECT TITLE : A Continuous Random Walk Model With Explicit Coherence Regularization for Image Segmentation ABSTRACT: Images can be segmented using the random walk algorithm, which is a popular and efficient method (ROIs). When
PROJECT TITLE :Alternative Method for Making Explicit FDTD Unconditionally StableABSTRACT:Another technique is developed to make an specific FDTD unconditionally stable. In this method, given any time step, we find the modes that
PROJECT TITLE :Efficient Eigen-Analysis for Large Delayed Cyber-Physical Power System Using Explicit Infinitesimal Generator DiscretizationABSTRACT:Time delays significantly compromise the performance of wide-space measurement
PROJECT TITLE :Explicit Reference Governor for Constrained Nonlinear SystemsABSTRACT:This technical note introduces a unique management law that dynamically modifies the reference of a pre-compensated nonlinear system to confirm

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry