From Signal Space To STP-CS
Systems and Control
2024-11-21 v1 Systems and Control
Abstract
Under the assumption that a finite signal with different sampling lengths or different sampling frequencies is considered as equivalent, the signal space is considered as the quotient space of over equivalence. The topological structure and the properties of signal space are investigated. Using them some characteristics of semi-tensor product based compressed sensing (STP-CS) are revealed. Finally, a systematic analysis of the construction of sensing matrix based on balanced incomplete block design (BIBD) is presented.
Cite
@article{arxiv.2411.12999,
title = {From Signal Space To STP-CS},
author = {Daizhan Cheng},
journal= {arXiv preprint arXiv:2411.12999},
year = {2024}
}