Year: 2015
Type: preprint
Abstract: We present a concise description of Orthogonal Polar Grassmann Codes and motivate their relevance. We also describe efficient encoding and decoding algorithms for the case of Line Grassmannians and introduce some open problems.
Source: arXiv (Cornell University)
Authors: Cardinali, Ilaria, Giuzzi, Luca
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2201274876