Constant Weight Polar Codes through Periodic Markov Processes
Boaz Shuval, Ido Tal

TL;DR
This paper investigates the polarization properties of constant weight codes generated from periodic Markov processes, demonstrating that fixing the initial state of the chain ensures polarization, unlike the general case.
Contribution
It establishes that fixing the initial state of a periodic Markov chain leads to polarization in constant weight codes, addressing a gap in previous understanding.
Findings
Polarization occurs when the initial state of the Markov chain is fixed.
General periodic Markov chains do not exhibit polarization.
Fixing the initial state aligns with constant weight code requirements.
Abstract
Constant weight codes can arise from an input process sampled from a periodic Markov chain. A previous result showed that, in general, polarization does not occur for input-output processes with an underlying periodic Markov chain. In this work, we show that if we fix the initial state of an underlying periodic Markov chain, polarization does occur. Fixing the initial state is aligned with ensuring a constant weight code.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDNA and Biological Computing · Error Correcting Code Techniques
