一个简单的流水线平方电路的DSP

V. Risojevic, A. Avramović, Z. Babic, P. Bulić
{"title":"一个简单的流水线平方电路的DSP","authors":"V. Risojevic, A. Avramović, Z. Babic, P. Bulić","doi":"10.1109/ICCD.2011.6081392","DOIUrl":null,"url":null,"abstract":"There are many digital signal processing applications where a shorter time delay of algorithms and efficient implementations are more important than accuracy. Since squaring is one of the fundamental operations widely used in digital signal processing algorithms, approximate squaring is proposed. We present a simple way of approximate squaring that allows achieving a desired accuracy. The proposed method uses the same simple combinational logic for the first approximation and correction terms. Performed analysis for various bit-length operands and level of approximation showed that maximum relative errors and average relative errors decrease significantly by adding more correction terms. The proposed squaring method can be implemented with a great level of parallelism. The pipelined implementation is also proposed in this paper. The proposed squarer achieved significant savings in area and power when compared to multiplier based squarer. As an example, an analysis of the impact of Euclidean distance calculation by approximate squaring on image retrieval is performed.","PeriodicalId":354015,"journal":{"name":"2011 IEEE 29th International Conference on Computer Design (ICCD)","volume":"134 7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A simple pipelined squaring circuit for DSP\",\"authors\":\"V. Risojevic, A. Avramović, Z. Babic, P. Bulić\",\"doi\":\"10.1109/ICCD.2011.6081392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are many digital signal processing applications where a shorter time delay of algorithms and efficient implementations are more important than accuracy. Since squaring is one of the fundamental operations widely used in digital signal processing algorithms, approximate squaring is proposed. We present a simple way of approximate squaring that allows achieving a desired accuracy. The proposed method uses the same simple combinational logic for the first approximation and correction terms. Performed analysis for various bit-length operands and level of approximation showed that maximum relative errors and average relative errors decrease significantly by adding more correction terms. The proposed squaring method can be implemented with a great level of parallelism. The pipelined implementation is also proposed in this paper. The proposed squarer achieved significant savings in area and power when compared to multiplier based squarer. As an example, an analysis of the impact of Euclidean distance calculation by approximate squaring on image retrieval is performed.\",\"PeriodicalId\":354015,\"journal\":{\"name\":\"2011 IEEE 29th International Conference on Computer Design (ICCD)\",\"volume\":\"134 7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 29th International Conference on Computer Design (ICCD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCD.2011.6081392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 29th International Conference on Computer Design (ICCD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2011.6081392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

在许多数字信号处理应用中,较短的算法延迟和有效的实现比精度更重要。由于平方是数字信号处理算法中广泛使用的基本运算之一,因此提出了近似平方。我们提出了一种简单的近似平方方法,可以达到期望的精度。提出的方法对第一近似项和修正项使用相同的简单组合逻辑。对不同位长度操作数和近似水平的分析表明,通过增加校正项,最大相对误差和平均相对误差显著降低。所提出的平方方法能够以较高的并行度实现。本文还提出了流水线化的实现方法。与基于乘数的平方器相比,所提出的平方器在面积和功率方面实现了显着的节省。作为实例,分析了近似平方法计算欧氏距离对图像检索的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A simple pipelined squaring circuit for DSP
There are many digital signal processing applications where a shorter time delay of algorithms and efficient implementations are more important than accuracy. Since squaring is one of the fundamental operations widely used in digital signal processing algorithms, approximate squaring is proposed. We present a simple way of approximate squaring that allows achieving a desired accuracy. The proposed method uses the same simple combinational logic for the first approximation and correction terms. Performed analysis for various bit-length operands and level of approximation showed that maximum relative errors and average relative errors decrease significantly by adding more correction terms. The proposed squaring method can be implemented with a great level of parallelism. The pipelined implementation is also proposed in this paper. The proposed squarer achieved significant savings in area and power when compared to multiplier based squarer. As an example, an analysis of the impact of Euclidean distance calculation by approximate squaring on image retrieval is performed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Hybrid system level power consumption estimation for FPGA-based MPSoC Modeling and design of a nanoscale memory cell for hardening to a single event with multiple node upset Using stochastic computing to implement digital image processing algorithms Energy-efficient multi-level cell phase-change memory system with data encoding Positive Davio-based synthesis algorithm for reversible logic
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1