Optimal Almost-Balanced Sequences
Daniella Bar-Lev, Adir Kobovich, Orian Leitersdorf, Eitan Yaakobi

TL;DR
This paper introduces an optimal method for generating almost-balanced sequences with minimal redundancy, improving efficiency and extending to non-binary cases, marking the first asymptotically optimal solutions in this area.
Contribution
It presents the first asymptotically optimal algorithms for almost-balanced sequences with a single redundancy bit, surpassing previous methods in efficiency and extending to non-binary alphabets.
Findings
Achieves the optimal order of $oldsymbol{ heta(\sqrt{n})}$ for almost-balanced sequences.
Extends the approach to non-binary $q$-ary sequences, including polarity-balanced and symbol-balanced codes.
Provides the first asymptotically optimal solutions for both binary and non-binary almost-balanced sequences.
Abstract
This paper presents a novel approach to address the constrained coding challenge of generating almost-balanced sequences. While strictly balanced sequences have been well studied in the past, the problem of designing efficient algorithms with small redundancy, preferably constant or even a single bit, for almost balanced sequences has remained unsolved. A sequence is -almost balanced if its Hamming weight is between . It is known that for any algorithm with a constant number of bits, has to be in the order of , with average time complexity. However, prior solutions with a single redundancy bit required to be a linear shift from . Employing an iterative method and arithmetic coding, our emphasis lies in constructing almost balanced codes with a single redundancy bit. Notably, our…
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
TopicsAdvanced Banach Space Theory · Fixed Point Theorems Analysis · Approximation Theory and Sequence Spaces
