{"title":"阵列结构最大似然解码器的实现","authors":"K. Wen, J. Wang, J. Lee, M. Lin","doi":"10.1109/ARRAYS.1988.18063","DOIUrl":null,"url":null,"abstract":"Efficient VLSI array processor architectures for maximum-likelihood decoding (MLD) have been developed to meet the high throughput and data processing requirements of modern communication systems. Both 1-D and 2-D MLD processors with large constraint length (>8) have been derived. Radix-4p processing elements and delay commutating switching processors for MLD have been concatenated to construct a pipeline MLD processor. The pipeline length can be adapted to meet the time/area constraints for various applications. A 2-D MLD array processor is also presented. Processing data are modulized, data transmission are embedded into processing elements, and a fixed-size 2-D MLD array is derived to meet high-data-throughput requirements.<<ETX>>","PeriodicalId":339807,"journal":{"name":"[1988] Proceedings. International Conference on Systolic Arrays","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Implementation of array structured maximum likelihood decoders\",\"authors\":\"K. Wen, J. Wang, J. Lee, M. Lin\",\"doi\":\"10.1109/ARRAYS.1988.18063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficient VLSI array processor architectures for maximum-likelihood decoding (MLD) have been developed to meet the high throughput and data processing requirements of modern communication systems. Both 1-D and 2-D MLD processors with large constraint length (>8) have been derived. Radix-4p processing elements and delay commutating switching processors for MLD have been concatenated to construct a pipeline MLD processor. The pipeline length can be adapted to meet the time/area constraints for various applications. A 2-D MLD array processor is also presented. Processing data are modulized, data transmission are embedded into processing elements, and a fixed-size 2-D MLD array is derived to meet high-data-throughput requirements.<<ETX>>\",\"PeriodicalId\":339807,\"journal\":{\"name\":\"[1988] Proceedings. International Conference on Systolic Arrays\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988] Proceedings. International Conference on Systolic Arrays\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARRAYS.1988.18063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings. International Conference on Systolic Arrays","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARRAYS.1988.18063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of array structured maximum likelihood decoders
Efficient VLSI array processor architectures for maximum-likelihood decoding (MLD) have been developed to meet the high throughput and data processing requirements of modern communication systems. Both 1-D and 2-D MLD processors with large constraint length (>8) have been derived. Radix-4p processing elements and delay commutating switching processors for MLD have been concatenated to construct a pipeline MLD processor. The pipeline length can be adapted to meet the time/area constraints for various applications. A 2-D MLD array processor is also presented. Processing data are modulized, data transmission are embedded into processing elements, and a fixed-size 2-D MLD array is derived to meet high-data-throughput requirements.<>
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