{"title":"归一化和量化对长期光谱积分的影响","authors":"B. Maranda","doi":"10.1109/SSAP.1992.246807","DOIUrl":null,"url":null,"abstract":"It is found that performance loss due to the normalization is small, less than 0.2 dB for an example. The loss due to quantization depends on the number of bits used. For one-bit (two-level) quantization, the loss is approximately 1 dB. This can be reduced to less than 0.1 dB by the use of three bits (8 levels) in the quantizer.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"20 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The effect of normalization and quantization on long-term spectral integration\",\"authors\":\"B. Maranda\",\"doi\":\"10.1109/SSAP.1992.246807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is found that performance loss due to the normalization is small, less than 0.2 dB for an example. The loss due to quantization depends on the number of bits used. For one-bit (two-level) quantization, the loss is approximately 1 dB. This can be reduced to less than 0.1 dB by the use of three bits (8 levels) in the quantizer.<<ETX>>\",\"PeriodicalId\":309407,\"journal\":{\"name\":\"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing\",\"volume\":\"20 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSAP.1992.246807\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1992.246807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
结果表明,由于归一化导致的性能损失很小,以0.2 dB为例。由于量化造成的损失取决于所使用的比特数。对于一位(二电平)量化,损耗约为1db。通过在量化器>中使用3位(8个电平),可以将其降低到小于0.1 dB
The effect of normalization and quantization on long-term spectral integration
It is found that performance loss due to the normalization is small, less than 0.2 dB for an example. The loss due to quantization depends on the number of bits used. For one-bit (two-level) quantization, the loss is approximately 1 dB. This can be reduced to less than 0.1 dB by the use of three bits (8 levels) in the quantizer.<>