{"title":"Finite-length signal quantization using discrete optimization","authors":"M. Chapman, A. Demir, P. Feldmann","doi":"10.1109/CICC.2000.852707","DOIUrl":null,"url":null,"abstract":"This paper introduces a novel, discrete optimization based method for the computation of coarsely quantized, oversampled finite length digital signals. The method, while only suitable for offline computation, is more general than the established sigma-delta encoding technique, due to its capacity to take into account complex specifications and design trade-offs. Signal generation is formulated as a linearly constrained, convex, integer quadratic programming problem which is solved through an application specific branch-and-bound algorithm. The optimization method is illustrated with a fractional-N frequency synthesizer based modulator design example.","PeriodicalId":20702,"journal":{"name":"Proceedings of the IEEE 2000 Custom Integrated Circuits Conference (Cat. No.00CH37044)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE 2000 Custom Integrated Circuits Conference (Cat. No.00CH37044)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICC.2000.852707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper introduces a novel, discrete optimization based method for the computation of coarsely quantized, oversampled finite length digital signals. The method, while only suitable for offline computation, is more general than the established sigma-delta encoding technique, due to its capacity to take into account complex specifications and design trade-offs. Signal generation is formulated as a linearly constrained, convex, integer quadratic programming problem which is solved through an application specific branch-and-bound algorithm. The optimization method is illustrated with a fractional-N frequency synthesizer based modulator design example.