{"title":"A General Method for the Development of Constrained Codes","authors":"Boris Ryabko","doi":"10.1109/TIT.2025.3552660","DOIUrl":null,"url":null,"abstract":"Nowadays there are several classes of constrained codes intended for different applications. The following two large classes can be distinguished. The first class contains codes with local constraints; for example, the source data must be encoded by binary sequences containing no sub-words 00 and 111. The second class contains codes with global constraints; for example, the code-words must be binary sequences of certain even length where half of the symbols are zeros and half are ones. It is important to note that often the necessary codes must fulfill some requirements of both classes. In this paper we propose a general polynomial complexity method for constructing codes for both classes, as well as for combinations thereof. The proposed method uses the Cover enumerative code, but calculates all the parameters on the fly with polynomial complexity, unlike the known applications of that code which employ combinatorial formulae. The main idea of the paper is to use dynamic programming to perform calculations like: how many sequences with a given prefix and a given suffix length satisfying constraints exist. For the constraints under consideration, we do not need to know the entire prefix, but much less knowledge about the prefix is sufficient. That is, we only need a brief description of the prefix.","PeriodicalId":13494,"journal":{"name":"IEEE Transactions on Information Theory","volume":"71 5","pages":"3510-3515"},"PeriodicalIF":2.2000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Information Theory","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10931149/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Nowadays there are several classes of constrained codes intended for different applications. The following two large classes can be distinguished. The first class contains codes with local constraints; for example, the source data must be encoded by binary sequences containing no sub-words 00 and 111. The second class contains codes with global constraints; for example, the code-words must be binary sequences of certain even length where half of the symbols are zeros and half are ones. It is important to note that often the necessary codes must fulfill some requirements of both classes. In this paper we propose a general polynomial complexity method for constructing codes for both classes, as well as for combinations thereof. The proposed method uses the Cover enumerative code, but calculates all the parameters on the fly with polynomial complexity, unlike the known applications of that code which employ combinatorial formulae. The main idea of the paper is to use dynamic programming to perform calculations like: how many sequences with a given prefix and a given suffix length satisfying constraints exist. For the constraints under consideration, we do not need to know the entire prefix, but much less knowledge about the prefix is sufficient. That is, we only need a brief description of the prefix.
期刊介绍:
The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.