{"title":"低功耗高效存储维特比解码器的设计","authors":"Lupin Chen, Jinjin He, Zhongfeng Wang","doi":"10.1109/SIPS.2007.4387532","DOIUrl":null,"url":null,"abstract":"This paper presents a new low-power memory-efficient trace-back (TB) scheme for high constraint length Viterbi decoder (VD). With the trace-back modifications and path merging techniques, up to 50% memory read operations in the survivor memory unit (SMU) can be reduced. The memory size of SMU can be reduced by 33% and the decoding latency can be reduced by 14%. The simulation results show that compared to the conventional TB scheme, the performance loss of this scheme is negligible.","PeriodicalId":93225,"journal":{"name":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","volume":"80 1","pages":"132-135"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design of Low-Power Memory-Efficient Viterbi Decoder\",\"authors\":\"Lupin Chen, Jinjin He, Zhongfeng Wang\",\"doi\":\"10.1109/SIPS.2007.4387532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new low-power memory-efficient trace-back (TB) scheme for high constraint length Viterbi decoder (VD). With the trace-back modifications and path merging techniques, up to 50% memory read operations in the survivor memory unit (SMU) can be reduced. The memory size of SMU can be reduced by 33% and the decoding latency can be reduced by 14%. The simulation results show that compared to the conventional TB scheme, the performance loss of this scheme is negligible.\",\"PeriodicalId\":93225,\"journal\":{\"name\":\"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)\",\"volume\":\"80 1\",\"pages\":\"132-135\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPS.2007.4387532\",\"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. IEEE Workshop on Signal Processing Systems (2007-2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2007.4387532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Low-Power Memory-Efficient Viterbi Decoder
This paper presents a new low-power memory-efficient trace-back (TB) scheme for high constraint length Viterbi decoder (VD). With the trace-back modifications and path merging techniques, up to 50% memory read operations in the survivor memory unit (SMU) can be reduced. The memory size of SMU can be reduced by 33% and the decoding latency can be reduced by 14%. The simulation results show that compared to the conventional TB scheme, the performance loss of this scheme is negligible.
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