{"title":"数字微分器的优化设计与低噪声实现","authors":"Om Prakash Goswami, Aasheesh Shukla, Manish Kumar","doi":"10.2478/jee-2022-0044","DOIUrl":null,"url":null,"abstract":"Abstract This manuscript presents a design of a differentiator in the digital domain with its low noise realization. It manifests the minimization of the L1 -error objective function by using a hybrid optimization technique consisting of the particle swarm and simulated annealing optimization algorithm. The obtained magnitude response provides a noteworthy approximation of the ideal differentiator with a minimal magnitude inaccuracy when compared with the existing designs. The realization structures are also investigated and compared in terms of the noise gain behavior.","PeriodicalId":15661,"journal":{"name":"Journal of Electrical Engineering-elektrotechnicky Casopis","volume":"73 1","pages":"332 - 336"},"PeriodicalIF":1.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal design and low noise realization of digital differentiator\",\"authors\":\"Om Prakash Goswami, Aasheesh Shukla, Manish Kumar\",\"doi\":\"10.2478/jee-2022-0044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This manuscript presents a design of a differentiator in the digital domain with its low noise realization. It manifests the minimization of the L1 -error objective function by using a hybrid optimization technique consisting of the particle swarm and simulated annealing optimization algorithm. The obtained magnitude response provides a noteworthy approximation of the ideal differentiator with a minimal magnitude inaccuracy when compared with the existing designs. The realization structures are also investigated and compared in terms of the noise gain behavior.\",\"PeriodicalId\":15661,\"journal\":{\"name\":\"Journal of Electrical Engineering-elektrotechnicky Casopis\",\"volume\":\"73 1\",\"pages\":\"332 - 336\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical Engineering-elektrotechnicky Casopis\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.2478/jee-2022-0044\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Engineering-elektrotechnicky Casopis","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.2478/jee-2022-0044","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Optimal design and low noise realization of digital differentiator
Abstract This manuscript presents a design of a differentiator in the digital domain with its low noise realization. It manifests the minimization of the L1 -error objective function by using a hybrid optimization technique consisting of the particle swarm and simulated annealing optimization algorithm. The obtained magnitude response provides a noteworthy approximation of the ideal differentiator with a minimal magnitude inaccuracy when compared with the existing designs. The realization structures are also investigated and compared in terms of the noise gain behavior.
期刊介绍:
The joint publication of the Slovak University of Technology, Faculty of Electrical Engineering and Information Technology, and of the Slovak Academy of Sciences, Institute of Electrical Engineering, is a wide-scope journal published bimonthly and comprising.
-Automation and Control-
Computer Engineering-
Electronics and Microelectronics-
Electro-physics and Electromagnetism-
Material Science-
Measurement and Metrology-
Power Engineering and Energy Conversion-
Signal Processing and Telecommunications