K. Gavaskar, S. Elango, Gopinath Palanisamy, N. Adhithyaa, A. Srinath
{"title":"低功耗,全定制设计的4:2压缩机,采用32纳米CNTFET技术进行高速信号处理","authors":"K. Gavaskar, S. Elango, Gopinath Palanisamy, N. Adhithyaa, A. Srinath","doi":"10.1007/s10470-025-02439-4","DOIUrl":null,"url":null,"abstract":"<div><p>Multiplication is a vital function in most Digital Signal Processing (DSP) applications. In general, multipliers take-up more space, have longer latency, and use more energy than other types of digital circuits. This paper will discuss the design of compressors and performance comparisons with respect to size, power, and speed. Compressors are the essential parts of multipliers that allow for the parallel accumulation and reduction of incomplete product stages. Enhancing the compressor’s performance has an impact on the multiplier’s capacity, which has an impact on the DSP’s effectiveness. The Carbon Nanotube Field Effect Transistor (CNTFET) has benefited from the Fin Field-Effect Transistor (FinFET) because carbon nanotubes are the stiffest and sturdiest materials. Due to its superior regularization and reduced complexity, the compressor structure is generally selected among the other varieties. Partial product terms are condensed using a compressor into two operands in Partial Product Reduction (PPR). A new design for a compressor is proposed and tested. The performance of this new compressor is simulated and checked to that of existing ones using Cadence’s Virtuoso tool, with 32 nm CNTFET technology. Simulation outcomes confirm that the projected compressor reduces delay by 10.31%, EDP by 30.82%, and PDP by 25.09%, outperforming existing ones.</p></div>","PeriodicalId":7827,"journal":{"name":"Analog Integrated Circuits and Signal Processing","volume":"124 2","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A low-power, full-custom design of a 4:2 compressor using 32 nm CNTFET technology for high-speed signal processing\",\"authors\":\"K. Gavaskar, S. Elango, Gopinath Palanisamy, N. Adhithyaa, A. Srinath\",\"doi\":\"10.1007/s10470-025-02439-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Multiplication is a vital function in most Digital Signal Processing (DSP) applications. In general, multipliers take-up more space, have longer latency, and use more energy than other types of digital circuits. This paper will discuss the design of compressors and performance comparisons with respect to size, power, and speed. Compressors are the essential parts of multipliers that allow for the parallel accumulation and reduction of incomplete product stages. Enhancing the compressor’s performance has an impact on the multiplier’s capacity, which has an impact on the DSP’s effectiveness. The Carbon Nanotube Field Effect Transistor (CNTFET) has benefited from the Fin Field-Effect Transistor (FinFET) because carbon nanotubes are the stiffest and sturdiest materials. Due to its superior regularization and reduced complexity, the compressor structure is generally selected among the other varieties. Partial product terms are condensed using a compressor into two operands in Partial Product Reduction (PPR). A new design for a compressor is proposed and tested. The performance of this new compressor is simulated and checked to that of existing ones using Cadence’s Virtuoso tool, with 32 nm CNTFET technology. Simulation outcomes confirm that the projected compressor reduces delay by 10.31%, EDP by 30.82%, and PDP by 25.09%, outperforming existing ones.</p></div>\",\"PeriodicalId\":7827,\"journal\":{\"name\":\"Analog Integrated Circuits and Signal Processing\",\"volume\":\"124 2\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analog Integrated Circuits and Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10470-025-02439-4\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analog Integrated Circuits and Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10470-025-02439-4","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
A low-power, full-custom design of a 4:2 compressor using 32 nm CNTFET technology for high-speed signal processing
Multiplication is a vital function in most Digital Signal Processing (DSP) applications. In general, multipliers take-up more space, have longer latency, and use more energy than other types of digital circuits. This paper will discuss the design of compressors and performance comparisons with respect to size, power, and speed. Compressors are the essential parts of multipliers that allow for the parallel accumulation and reduction of incomplete product stages. Enhancing the compressor’s performance has an impact on the multiplier’s capacity, which has an impact on the DSP’s effectiveness. The Carbon Nanotube Field Effect Transistor (CNTFET) has benefited from the Fin Field-Effect Transistor (FinFET) because carbon nanotubes are the stiffest and sturdiest materials. Due to its superior regularization and reduced complexity, the compressor structure is generally selected among the other varieties. Partial product terms are condensed using a compressor into two operands in Partial Product Reduction (PPR). A new design for a compressor is proposed and tested. The performance of this new compressor is simulated and checked to that of existing ones using Cadence’s Virtuoso tool, with 32 nm CNTFET technology. Simulation outcomes confirm that the projected compressor reduces delay by 10.31%, EDP by 30.82%, and PDP by 25.09%, outperforming existing ones.
期刊介绍:
Analog Integrated Circuits and Signal Processing is an archival peer reviewed journal dedicated to the design and application of analog, radio frequency (RF), and mixed signal integrated circuits (ICs) as well as signal processing circuits and systems. It features both new research results and tutorial views and reflects the large volume of cutting-edge research activity in the worldwide field today.
A partial list of topics includes analog and mixed signal interface circuits and systems; analog and RFIC design; data converters; active-RC, switched-capacitor, and continuous-time integrated filters; mixed analog/digital VLSI systems; wireless radio transceivers; clock and data recovery circuits; and high speed optoelectronic circuits and systems.