{"title":"使用离散优化的有限长度信号量化","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":"{\"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}","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}
Finite-length signal quantization using discrete optimization
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.