On Lossless Causal Compression of Periodic Signals
Signal Processing
2018-12-10 v1
Abstract
We present and study a scheme for lossless causal compression of periodic real-valued signals. In particular, our technique compresses a vector-valued signal to a scalar-valued signal by mixing it with another periodic signal. The conditions for being able to reconstruct the original signal then amount to certain non-resonances between the periods of the two signals. The proposed compression scheme turns out to implicitly be inherent to communication networks with round-robin scheduling and digital photography with active pixel sensors.
Cite
@article{arxiv.1812.02800,
title = {On Lossless Causal Compression of Periodic Signals},
author = {Jan Maximilian Montenbruck and Shen Zeng},
journal= {arXiv preprint arXiv:1812.02800},
year = {2018}
}